SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials
Open accessAbstract
High quality protocols facilitate proper planning, conduct, reporting, and external review of randomised trials, yet their completeness varies and key elements are often not considered. To strengthen good reporting of trial protocols, the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 statement has been updated to incorporate new evidence and emerging perspectives. This SPIRIT 2025 explanation and elaboration document provides users with exemplars of reporting in contemporary trial protocols, contextual elaboration, more detailed guidance on reporting, references to key empirical studies, an expanded checklist, and a link to a website for further information. The document is intended to be used in conjunction with the SPIRIT 2025 statement and serves as a resource for researchers planning a trial and for others interested in trial protocols.
AI snapshot
Written from a shortened version of the paper’s full text (it is longer than we read).
TL;DR
SPIRIT 2025 explanation and elaboration provides updated guidance for reporting protocols of randomised trials, expanding the 34-item SPIRIT 2025 checklist with exemplars, rationale, and references. It is intended to be used with the SPIRIT 2025 statement to improve the completeness and transparency of trial protocols.
Key findings
- SPIRIT 2025 comprises a 34-item checklist of minimum recommended protocol items, plus a schedule-of-enrolment/interventions/assessments diagram; this E&E explains each item and gives published protocol exemplars.
- The update was developed using a scoping review, an online Delphi survey with 317 international participants, and a two-day online expert consensus meeting with 30 international experts; SPIRIT 2025 was developed in parallel with CONSORT 2025.
- The document reports persistent protocol reporting gaps from two 2016 samples of 108 and 292 protocols, including 11% and 17% reporting protocol contributor names, 57% and 78% reporting sponsor name/contact details, and 23% and 32% reporting plans for access to the full dataset.
- It provides an expanded checklist and a joint SPIRIT-CONSORT website to support implementation.
Methods
- Guideline development followed EQUATOR Network guidance; briefly, a project database, scoping review of comments, identification of SPIRIT/CONSORT extensions, evidence collection, Delphi survey (317 participants), and a two-day online consensus meeting (30 experts) informed the updated checklists.
- For this E&E, the authors modelled their approach on the SPIRIT 2013 E&E: each checklist item is presented with at least one exemplar from a protocol, followed by rationale, main issues, and selected references.
- Exemplars were obtained from public websites, journal publications, and appendices to published trials; references to empirical studies were identified through a continuously updated project database, preferring systematic reviews when available.
Limitations
- The paper states challenges in balancing brevity and comprehensiveness, generalisability and specificity, and notes that SPIRIT 2025 focuses on the most prevalent design—parallel group randomised trials—although most items apply to other designs.
- The paper states that some items had little or no identified empirical evidence (e.g., item 1a, Title) and were included based on pragmatic or ethical rationale; it also notes overlap among SPIRIT extensions and the need for better alignment.
- Evident from the text: this is a guidance/explanation document, not an empirical evaluation of whether SPIRIT 2025 improves protocol quality, and the exemplars are selected examples rather than a systematic sample.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 453 cited sources checked · 0 supported · 0 flagged
- Premisecitation
Concerns about inadequate reporting of key content in trial protocols provided the impetus for the development of the original SPIRIT statement published in 2013.
“Concerns about inadequate reporting of key content in trial protocols3 4 5 provided the impetus for the development of the original SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement published in 2013.6”
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Restrictions on publication have been imposed by various groups, including industry sponsors.
“Restrictions on publication have been imposed by various groups, including industry sponsors.38 49 50”
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Previous reviews have reported frequent discrepancies in primary outcomes defined in registries compared with those specified in protocols of randomised trials.
“as previous reviews have reported frequent discrepancies in the primary outcomes defined in registries compared with those specified in protocols of randomised trials.64”
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- Premisecitation
These restrictions are sometimes not fully described in the protocol but rather in separate publication agreements.
“These restrictions are sometimes not fully described in the protocol but rather in separate publication agreements.38 51”
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Reviews of two samples of 108 and 292 unpublished trial protocols from 2016 found that 11% and 17%, respectively, reported the names of protocol contributors or authors.
“Reviews of two samples of 108 and 292 unpublished trial protocols from 2016 found that 11% and 17%, respectively, reported the names of protocol contributors or authors.9 10”
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- Premisecitation
Reviews of two samples of 108 and 292 trial protocols from 2016 found that 61% and 39%, respectively, reported the role of the sponsor and funder.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 61% and 39%, respectively, reported the role of the sponsor and funder.9 10”
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Protocols and statistical analysis plans play a central role in enhancing the transparency, reproducibility, and interpretation of trial results.
“Given the central role of protocols and statistical analysis plans in enhancing the transparency, reproducibility, and interpretation of trial results, there is a strong ethical and scientific rationale for these key documents to be publicly available.74 75 76 77 78”
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One review of eight published meta-epidemiological studies reported that trials with a high risk of influence from industry funders reported 12% (odds ratio) more beneficial effects (95% CI 3% to 19%), on average, than comparable trials without high risk of funder influence.
“One review of eight published meta-epidemiological studies reported that trials with a high risk of influence from industry funders, such as on trial design, conduct, and analysis, reported 12% (odds ratio) more beneficial effects (95% confidence interval (CI) 3% to 19%), on average, than comparable trials without high risk of funder influence.52”
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Industry funded trials with greater funder involvement tend to report more favourable results than comparable trials without such involvement.
“Industry funded trials with greater funder involvement tend to report more favourable results (ie, larger estimates of intervention effects) than comparable trials without such involvement.”
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Data sharing does not happen for most randomised trials.
“However, data sharing does not happen for most randomised trials.93 94 95 96 97”
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A systematic review of 75 methodological studies found industry funded studies more often had favourable conclusions (risk ratio 1.34, 95% CI 1.19 to 1.51) compared with non-industry studies.
“A systematic review of 75 methodological studies, comparing industry funded with non-industry funded studies (mostly randomised trials), reported that industry studies more often had favourable conclusions (risk ratio 1.34 (95% CI 1.19 to 1.51) compared with non‐industry studies.106”
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- Premisecitation
In two samples of 108 and 292 trial protocols from 2016, 23% and 32% respectively reported plans for who would have access to the full dataset.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 23% and 32%, respectively, reported plans for who would have access to the full dataset.9 10”
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Trials with statistically non-significant results are more prone to non-publication or long delay to publication (publication bias).
“Despite providing important information relevant to patients, trials with statistically non-significant results are more prone to non-publication,114 or, when published, to a long delay to publication114 115 116—often referred to as publication bias.”
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Data sharing is associated with an increased number of citations.
“Data sharing is also associated with an increased number of citations.87 88”
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A systematic review of five studies found discrepancies in funding sources between protocols/registries and corresponding publications in a median of 45% (range 4-80%) of protocol-publication pairs.
“A systematic review of five studies compared funding sources reported in protocols or trial registries with funding sources declared in the corresponding publications of the results. It found discrepancies in a median of 45% (range 4-80%) of protocol-publication pairs (not exclusively randomised trials).64”
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Industry funded trials might report more favourable results than comparable trials funded by other sources, although the evidence is less certain.
“Industry funded trials might also report more favourable results (ie, estimates of intervention effects) than comparable trials that are funded by other sources, although the evidence is less certain.”
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High quality protocols and statistical analysis plans contain relevant information on study design and conduct that is often not reported in journal publications or trial registries.
“High quality protocols and statistical analysis plans contain relevant information on study design and conduct that is often not reported in journal publications or trial registries.79 80”
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In a study of hypothetical decision making in doctors, around half indicated that they would enrol a patient in a randomised trial of biologics for rheumatoid arthritis despite considering the comparator inappropriate in the context of usual care.
“In a study of hypothetical decision making in doctors, around half indicated that they would enrol a patient in a randomised trial of biologics for rheumatoid arthritis despite considering the comparator inappropriate in the context of usual care.159”
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- Premisecitation
In two samples of 108 and 292 trial protocols from 2016, 44% and 26% respectively justified the research question.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 44% and 26%, respectively, justified the research question.9 10”
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A trial in which the comparator group receives an inappropriately low dose of an active drug will overestimate the relative efficacy of the study intervention in clinical practice.
“For example, a trial in which the comparator group receives an inappropriately low dose of an active drug will overestimate the relative efficacy of the study intervention in clinical practice;”
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In two other samples of 108 and 292 protocols from 2016, plans to disseminate trial results were described in 56% and 71% respectively.
“In two other samples of 108 and 292 protocols from 2016, plans to disseminate trial results were described in 56% and 71%, respectively.9 10”
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Surveys have shown that a potential barrier to trial participation is the possibility of being allocated a placebo only or active comparator intervention that is perceived to be less desirable than the study intervention.
“In addition, surveys have shown that a potential barrier to trial participation is the possibility of being allocated a placebo only or active comparator intervention that is perceived to be less desirable than the study intervention.140”
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Failure to review the cumulative evidence can lead to unnecessary and wasteful duplication of research.
“Failure to review the cumulative evidence can lead to unnecessary and wasteful duplication of research148”
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A trial in which the comparator group receives an inappropriately high dose will lead to an underestimate of the relative harms of the study intervention.
“conversely, an inappropriately high dose in the comparator group will lead to an underestimate of the relative harms of the study intervention.157 158”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 76% and 83%, respectively, explained the choice of comparator.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 76% and 83%, respectively, explained the choice of comparator.9 10”
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Publication of trial results was associated with higher quality reporting in the protocol.
“Also, publication of trial results was associated with higher quality reporting in the protocol.113”
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- Premisecitation
In a sample of 326 protocols approved in 2012, 70 (21%) trials remained unpublished after 10 years.
“In a sample of 326 protocols approved in 2012, 70 (21%) trials remained unpublished after 10 years.113”
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Evidence from systematic review can help researchers optimise usefulness of new trial by informing design aspects such as outcome definition and sample size.
“This evidence can also help researchers to optimise the usefulness of the new trial by informing design aspects such as outcome definition and sample size.143 144 145”
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Previous reviews of trial protocols have found that many do not cite the systematic reviews or trials that exist on the same topic.
“Previous reviews of trial protocols have found that many do not cite the systematic reviews or trials that exist on the same topic.152 153 154”
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Failure to review the cumulative evidence can lead to trial participants being deprived of effective interventions or exposed to harmful interventions.
“or to trial participants being deprived of effective interventions or exposed to harmful interventions.144 149 150 151”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 76% and 82%, respectively, reported criteria for modification of interventions.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 76% and 82%, respectively, reported criteria for modification of interventions.9 10”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 90% and 91% described the setting of intervention delivery.
“and 90% and 91% described the setting of intervention delivery.9 10”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 42% and 56%, respectively, listed the countries where data were to be collected.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 42% and 56%, respectively, listed the countries where data were to be collected,”
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Eligibility criteria for care providers and centres in protocols for non-drug trials are often poorly reported.
“Eligibility criteria for care providers and centres in protocols for non-drug trials are often poorly reported.”
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Different levels of expertise of care providers in each trial group can bias treatment effect estimates.
“Different levels of expertise of care providers in each trial group can bias treatment effect estimates.224”
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- Premisecitation
Up to 38% of trials defined multiple primary outcomes.
“Although up to 38% of trials defined multiple primary outcomes,249 250 251 252”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that key elements of drug treatments (generic name, dose, and schedule of intervention) were reported in more than 90% of protocols.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that key elements of drug treatments (ie, generic name, dose, and schedule of intervention) were reported in more than 90% of protocols.9 10”
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Problems arise when trial protocols do not designate any primary outcome.
“Problems also arise when trial protocols do not designate any primary outcome, as seen in half of protocols for a sample of trials published from 2002 to 2008,254 and in 18% and 25% of randomised trial protocols that received ethics approval in Switzerland and Denmark, respectively.249 255”
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The interpretation of trial results in published reports is not always consistent with the prespecified conceptual framework.
“In addition, the interpretation of trial results in published reports is not always consistent with the prespecified conceptual framework,198 199 200 especially among reports claiming post hoc equivalence based on a failure to show superiority, rather than on a specific test of equivalence.198”
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Public involvement in other types of health research has been shown to help researchers to engage under-served populations and recruit diverse participant groups.
“Public involvement in other types of health research has been shown to help researchers to engage under-served populations and recruit diverse participant groups.186”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [186] Staley K. Exploring Impact: Public involvement in NHS, public health and social care research. 2009. https://wellcomecollection.org/works/wtbmggvr.
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- Premisecitation
A systematic review of articles comparing protocols and published reports found discrepancies about eligibility criteria in 25% to 57% of studies.
“For example, a systematic review of articles comparing protocols and published reports (most being clinical trials or systematic reviews) found discrepancies about eligibility criteria in 25% to 57% of studies.64”
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Patient outcomes can be associated with hospital and care provider volume.
“Patient outcomes can be associated with hospital and care provider volume—that is, the number of patients seen by a care provider or treated in a hospital.222”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 69% and 81%, respectively, reported the concomitant care that was permitted.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 69% and 81%, respectively, reported the concomitant care that was permitted.9 10”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 40% and 44% reported the location of participant recruitment.
“40% and 44% reported the location of participant recruitment,”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that eligibility criteria for centres (and criteria for those performing the intervention) were reported in 30% and 38% of protocols, respectively.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that eligibility criteria for centres (and criteria for those performing the intervention) were reported in 30% and 38% of protocols, respectively.9 10”
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How harms outcomes are assessed will affect the results obtained.
“How harms outcomes are assessed will affect the results obtained.276 277 278 279”
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The values of certain prespecified variables tend to be inappropriately inflated (eg, clinically important target difference) or underestimated (eg, standard deviation for continuous outcomes), leading to trials ultimately having less power than originally intended.
“The values of certain prespecified variables tend to be inappropriately inflated (eg, clinically important target difference) or underestimated (eg, standard deviation for continuous outcomes),295 leading to trials ultimately having less power than originally intended.”
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Bias can arise when the trial groups receive different concomitant care-for example, additional interventions that may affect trial outcomes.
“Bias can arise when the trial groups receive different concomitant care—for example, additional interventions that may affect trial outcomes.246”
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During a clinical trial, situations can emerge that necessitate changes in, or discontinuation of, the allocated intervention or comparator for a participant.
“During a clinical trial, situations can emerge that necessitate changes in, or the discontinuation of, the allocated intervention or comparator for a participant. These events can be caused by a variety of factors, including harms, improved health status, lack of efficacy, and withdrawal of participant consent.233”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [233] US Food and Drug Administration. CFR - Code of Federal Regulations Title 21, Chapter I, Subchapter D, Part 312: Investigational new drug application. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?CFRPart=312&showFR=1&subpartNode=21:5.0.1.1.3.4 [Accessed 12 Sep 2023].
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Major discrepancies in the primary outcomes designated in protocols, registries, and regulatory submissions versus final trial publications are common.
“Furthermore, major discrepancies in the primary outcomes designated in protocols, registries, and regulatory submissions versus final trial publications are common.”
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The systematic development and adoption of a common set of key trial outcomes for a given health condition can help to deter selective reporting of outcomes.
“The systematic development and adoption of a common set of key trial outcomes for a given health condition can help to deter selective reporting of outcomes and facilitate comparisons and pooling of results across trials in a meta-analysis,263 264 helping to reduce research waste.”
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The discrepancies are often not acknowledged in final publications.
“The discrepancies favour the reporting of statistically significant primary outcomes over non-significant ones, and they are often not acknowledged in final publications.64 256 257 258 259”
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Subjective outcomes are more prone to bias from inadequate blinding (ascertainment bias) and allocation concealment (selection bias) than objective outcomes.
“and subjective outcomes are more prone to bias from inadequate blinding (ascertainment bias) and allocation concealment (selection bias) than objective outcomes.271”
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- Interpretationcitation
Specifying the methods of assessing, grouping, and analysing harms in the protocol helps to identify and deter the selective reporting of results in publications and registries.
“Specifying the methods of assessing, grouping, and analysing harms in the protocol helps to identify and deter the selective reporting of results in publications and registries.280 281”
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Half of protocols for a sample of trials published from 2002 to 2008 did not designate any primary outcome.
“as seen in half of protocols for a sample of trials published from 2002 to 2008,254”
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- Interpretationcitation
The systematic development and adoption of a common set of key trial outcomes for a given health condition can facilitate comparisons and pooling of results across trials in a meta-analysis, helping to reduce research waste.
“The systematic development and adoption of a common set of key trial outcomes for a given health condition can help to deter selective reporting of outcomes and facilitate comparisons and pooling of results across trials in a meta-analysis,263 264 helping to reduce research waste.”
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The discrepancies favour the reporting of statistically significant primary outcomes over non-significant ones.
“The discrepancies favour the reporting of statistically significant primary outcomes over non-significant ones, and they are often not acknowledged in final publications.64 256 257 258 259”
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Substantial discrepancies have been observed between protocol specified plans for the data collection and reporting of harms and what is described in publications of completed trials.
“Substantial discrepancies have been observed between protocol specified plans for the data collection and reporting of harms and what is described in publications of completed trials.282”
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- Premisecitation
The use of a dichotomous analysis metric compared with a continuous metric reduces statistical power.
“The use of a dichotomous analysis metric compared with a continuous metric reduces statistical power268 269 270”
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Difficulties in recruitment are common in clinical trials.
“However, difficulties in recruitment are common in clinical trials.309 310”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that less than 44% of protocols reported the location of recruitment, individuals to be recruited, or expected recruitment rate.
“For example, reviews of two samples of 108 and 292 trial protocols from 2016 found that less than 44% of protocols reported the location of recruitment, individuals to be recruited, or expected recruitment rate.9 10”
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Fixed blocks of two or four are most problematic, as allocation might become predictable for a sizeable proportion of trial participants.
“Fixed blocks of two or four are most problematic, as allocation might become predictable for a sizeable proportion of trial participants.”
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Although the order of interventions varies randomly within each block, an individual running the trial could deduce some of the next treatment allocations if they discovered the block size.
“Although the order of interventions varies randomly within each block, an individual running the trial could deduce some of the next treatment allocations if they discovered the block size.336”
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- Premisecitation
A review of 151 trials from 2004 to 2016 funded by the UK Health Technology Assessment Programme found that 44% did not reach their recruitment targets.
“For example, a review of 151 trials from 2004 to 2016 funded by the UK Health Technology Assessment Programme found that 44% did not reach their recruitment targets.311”
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- Premisecitation
If some type of restricted randomisation approach is to be used, in particular blocked randomisation or minimisation, then knowledge of the specific details could lead to bias.
“If some type of restricted randomisation approach is to be used, in particular blocked randomisation or minimisation, then knowledge of the specific details could lead to bias.342 343”
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Among randomised trial protocols that describe a sample size calculation, studies often do not state all components necessary to understand and reproduce the sample size (including the derivation of the target difference and the source of estimated values).
“Among randomised trial protocols that describe a sample size calculation, studies often do not state all components necessary to understand and reproduce the sample size (including the derivation of the target difference and the source of estimated values).200 297”
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A systematic review of articles comparing protocols and published reports (most being clinical trials or systematic reviews) found discrepancies about sample size in 26% to 44% of studies.
“Also, a systematic review of articles comparing protocols and published reports (most being clinical trials or systematic reviews) found discrepancies about sample size in 26% to 44% of studies.64”
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- Interpretationreasoning
Selection bias could result from knowledge of restricted randomisation details, regardless of the effectiveness of allocation concealment.
“Selection bias could result, regardless of the effectiveness of allocation concealment (item 22).”
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Minimisation assures similar distribution of selected participant factors between study groups.
“Minimisation assures similar distribution of selected participant factors between study groups.333 338”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 75% and 61%, respectively, described the method of sequence generation.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 75% and 61%, respectively, described the method of sequence generation.9 10”
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No other allocation approach, regardless of its real or supposed sophistication, surpasses the prevention of bias and unpredictability of simple randomisation.
“No other allocation approach, regardless of its real or supposed sophistication, surpasses the prevention of bias and unpredictability of simple randomisation.321 334”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [321] Schulz KF Grimes DA . Essential Concepts in Clinical Research: randomized controlled trials and observational epidemiology. 2nd ed. Elsevier, 2019.
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- cites [334] source
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- Premisereasoning
Improved balance from blocking comes at the cost of reducing the unpredictability of the sequence.
“Improved balance comes at the cost of reducing the unpredictability of the sequence.”
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Inadequate matching-distinguishable differences in physical properties of compared interventions-seems to be the main mechanism for unblinding in drug trials.
“Indeed, inadequate matching—that is, distinguishable differences in the physical properties of compared interventions—seems to be the main mechanism for unblinding in drug trials.372”
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Among two samples of trial protocols approved in 2016, 64% and 75%, respectively, reported the data entry and coding processes.
“Among two samples of trial protocols approved in 2016, 64% and 75%, respectively, reported the data entry and coding processes.9 10”
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Awareness of the intervention assigned to participants can introduce exclusion or attrition bias in the decision to withdraw from the trial or to exclude a participant from the analysis.
“exclusion or attrition bias in the decision to withdraw from the trial or to exclude a participant from the analysis.359 360”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 81% and 90%, respectively, addressed the conditions when unblinding was permissible.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 81% and 90%, respectively, addressed the conditions when unblinding was permissible.9 10”
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- Premisecitation
Inadequate or unclear allocation concealment in trial publications has been associated with inflated effect size estimates.
“Similar to failure of random sequence generation, inadequate or unclear allocation concealment in trial publications has been associated with inflated effect size estimates.325 327 328 336 349 350”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that only half reported strategies to promote participant retention and complete follow-up.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that only half reported strategies to promote participant retention and complete follow-up.9 10”
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Reviews of two samples of 108 and 292 trial protocols from 2016 found that 83% addressed the mechanism of allocation concealment.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 83% addressed the mechanism of allocation concealment.9 10”
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When blinding of trial participants and care providers is not possible owing to obvious differences between interventions, blinding of outcome assessors can often still be implemented.
“When blinding of trial participants and care providers is not possible owing to obvious differences between the interventions,364 365 blinding of the outcome assessors can often still be implemented.323”
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In one study of randomised trial protocols in Denmark, more than half did not adequately describe allocation concealment methods.
“In one study of randomised trial protocols in Denmark, more than half did not adequately describe allocation concealment methods.329”
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Not checked in the free run.
- Premisecitation
A review of UK government funded trials found that among 75 protocols with patient reported outcomes, only 37% described the instrument's measurement properties.
“A review of UK government funded trials found that among 75 protocols with patient reported outcomes, only 37% described the instrument’s measurement properties.391”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [391] source
Not checked in the free run.
- Premisecitation
Awareness of the intervention assigned to participants can introduce performance bias in the decision to discontinue or modify study interventions, concomitant interventions, or other aspects of care.
“performance bias in the decision to discontinue or modify study interventions (eg, dosing changes) (item 15b), concomitant interventions, or other aspects of care (item 15d)358”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [358] source
Not checked in the free run.
- Premisereasoning
If envelopes used for allocation concealment are not opaque and contents are visible when held up to a light source, or if envelopes can be unsealed and resealed, then this method of allocation concealment can be corrupted.
“If the envelopes are not opaque and the contents are visible when held up to a light source, or if the envelopes can be unsealed and resealed, then this method of allocation concealment can be corrupted.”
Quote in the paperNot a substantial claim - Premisecitation
Without adequate allocation concealment, even random, unpredictable assignment sequences can be subverted.
“Without adequate allocation concealment, even random, unpredictable assignment sequences can be subverted.336 346 347 348”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Among protocols from 2016, 32% to 54% described the staff who would be collecting data.
“Among protocols from 2016, 32% to 54% described the staff who would be collecting data.9 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 9 10
Not checked in the free run.
- Interpretationreasoning
Failure to separate people involved in sequence generation and allocation concealment from those implementing assignments might introduce bias.
“Failure to implement this separation might introduce bias.”
Quote in the paperSubstantial claim - Premisecitation
Blinding has often been poorly described in trial protocols.
“Despite its importance, blinding has often been poorly described in trial protocols.5”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] source
Not checked in the free run.
- Premisenone given
The risk of unblinding is higher in trials designed such that patients are exposed to both experimental and comparator intervention, such as crossover trials and parallel group trials with a placebo run-in period.
“The risk of unblinding is higher in trials designed such that patients are exposed to both the experimental and the comparator intervention, such as in crossover trials and parallel group trials with a placebo run-in period.”
Quote in the paperNot a substantial claim - Premisereasoning
The choice of methods for outcome assessment can affect study conduct and results.
“The choice of methods for outcome assessment can affect study conduct and results.”
Quote in the paperSubstantial claim - Premisecitation
The quality of data depends on the reliability, validity, and responsiveness of data collection instruments, such as questionnaires and laboratory instruments.
“The quality of data also depends on the reliability, validity, and responsiveness of data collection instruments, such as questionnaires and laboratory instruments.386 387”
Quote in the paperSubstantial claim0 of 1 sources checked- cites 386 387
Not checked in the free run.
- Premisecitation
Substantially different responses can be obtained for certain outcomes depending on who answers the questions and how the questions are presented.
“Substantially different responses can be obtained for certain outcomes (eg, harms) depending on who answers the questions (eg, the participant or investigator) and how the questions are presented (eg, discrete options or open ended).381 382 383 384”
Quote in the paperSubstantial claim0 of 1 sources checked- cites 381 382 383 384
Not checked in the free run.
- Premisecitation
Awareness of the intervention assigned to participants can introduce ascertainment bias in the measurement of outcomes, particularly subjective ones.
“Awareness of the intervention assigned to participants can introduce ascertainment bias in the measurement of outcomes, particularly subjective ones (eg, quality of life)325 356 357”
Quote in the paperSubstantial claim0 of 1 sources checked- cites 325 356 357
Not checked in the free run.
- Premisecitation
Reviews of two samples of 108 and 292 trial protocols from 2016 found that 73% and 56%, respectively, did not describe the individuals who would enrol or assign participants.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 73% and 56%, respectively, did not describe the individuals who would enrol or assign participants.9 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 9 10
Not checked in the free run.
- Premisecitation
Central randomisation was stated as the allocation concealment method in all phase 3 trial protocols initiated in 1968-2003 by a cooperative cancer research group that used extensive protocol review processes.
“In contrast, central randomisation was stated as the allocation concealment method in all phase 3 trial protocols initiated in 1968-2003 by a cooperative cancer research group that used extensive protocol review processes.330”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [330] source
Not checked in the free run.
- Premisereasoning
Use of a fixed code (versus a unique code for each participant) to denote each trial group assignment increases risk that unblinding of one participant could result in inadvertent unblinding of many trial participants.
“Another obvious example of the risk of unblinding is use of a fixed code (versus a unique code for each participant) to denote each trial group assignment (eg, A=experimental, B=comparator). In these circumstances, the unblinding of one participant could result in the inadvertent unblinding of many trial participants.”
Quote in the paperNot a substantial claim - Premisecitation
When multiple comparisons are performed, the risk of false positives (type 1 error) is inflated.
“When multiple comparisons are performed (eg, multiple outcomes, time points, subpopulations, interim analyses), the risk of false positives (type 1 error) is inflated.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Adjusting for baseline covariates, including those used in stratified randomisation, can lead to improved power to detect an intervention effect, particularly when a baseline covariate is prognostic of the outcome.
“Adjusting for baseline covariates, including those used in any stratified randomisation, is often advised in the analysis, particularly when a baseline covariate is prognostic of the outcome, as it can lead to improved power to detect an intervention effect.408 409 410”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Prespecifying the analysis plans in the protocol reduces the risk of selective reporting of outcomes and results.
“Prespecifying the analysis plans in the protocol reduces the risk of selective reporting of outcomes and results.63 64 81 82”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Formal analytical approaches to harms data exist.
“Formal analytical approaches to harms data exist.413”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [413] source
Not checked in the free run.
- Premisecitation
Exclusion of data from participants who did not adhere to the protocol can compromise the randomisation and introduce bias, particularly if the frequency of and the reasons for non-adherence vary between the trial groups.
“Exclusion of data from participants who did not adhere to the protocol can compromise the randomisation and introduce bias, particularly if the frequency of and the reasons for non-adherence vary between the trial groups (eg, healthy adherers bias).423”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [423] source
Not checked in the free run.
- Premisecitation
A systematic review found that analysis plans described in protocols for up to half of studies (mostly clinical trials and systematic reviews) did not match those reported in publications.
“A systematic review found that analysis plans described in protocols for up to half of studies (mostly clinical trials and systematic reviews) did not match those reported in publications.64”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] source
Not checked in the free run.
- Premisecitation
No standardised rules exist for dealing with multiplicity.
“Although no standardised rules exist for dealing with multiplicity, guidance is available on key problems to consider.411 412”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Many analyses are described as intention to treat but apply variable definitions in terms of handling missing outcome data or excluding participants who deviate from the intervention or follow-up protocols.
“Many analyses are described as intention to treat but apply variable definitions in terms of handling missing outcome data (item 27c) or excluding participants who deviate from the intervention or follow-up protocols.421 422”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Subgroup analyses are highly susceptible to bias and misinterpretation, particularly if they are inappropriately conducted or selectively reported.
“Although commonly performed,439 440 subgroup analyses are highly susceptible to bias and misinterpretation, particularly if they are inappropriately conducted or selectively reported.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
A meta-epidemiological study of 322 comparisons from 310 randomised trials found that analyses deviating from intention to treat produced larger intervention effect sizes than those applying the intention-to-treat principle.
“A meta-epidemiological study of 322 comparisons from 310 randomised trials found that analyses deviating from intention to treat produced larger intervention effect sizes than those applying the intention-to-treat principle.424”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [424] source
Not checked in the free run.
- Premisecitation
Despite the high prevalence and important effect of missing data, only 69% and 74% of two samples of trial protocols approved in 2016 considered statistical methods to handle missing data (and the analysis population relating to protocol non-adherence).
“Despite the high prevalence and important effect of missing data, only 69% and 74% of two samples of trial protocols approved in 2016 considered statistical methods to handle missing data (and the analysis population relating to protocol non-adherence).9 10”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Most randomised trials encounter some degree of missing outcome and covariate data.
“Most randomised trials encounter some degree of missing outcome and covariate data.422 426”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Other reviews have found frequent discrepancies between the main analysis population described in protocols compared with in reports of completed trials (or systematic reviews).
“Other reviews have found frequent discrepancies between the main analysis population described in protocols compared with in reports of completed trials (or systematic reviews).64”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] source
Not checked in the free run.
- Premisecitation
Defining subgroups based on variables measured after randomisation is susceptible to bias.
“Defining subgroups based on variables measured after randomisation is susceptible to bias and should be avoided.442”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [442] source
Not checked in the free run.
- Premisecitation
Well documented subgroup differences tend to be far less common than claims made for such differences.
“Well documented subgroup differences tend to be far less common than claims made for such differences.443”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [443] source
Not checked in the free run.
- Premisecitation
Reviews have found that for more than half of trials the subgroup analyses reported in publications do not match those described in protocols.
“Reviews have found that for more than half of trials the subgroup analyses reported in publications do not match those described in protocols,64 440 raising concerns about post hoc analyses and selective reporting.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Post hoc subgroup analyses have a high risk of spurious (false positive) findings.
“Post hoc subgroup analyses (ie, performed after looking at the data) should be avoided owing to the high risk of spurious (false positive) findings.441”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [441] source
Not checked in the free run.
- Premisecitation
Multiple analyses of the accumulating data increase the risk of a false positive (type I error).
“Multiple analyses of the accumulating data increase the risk of a false positive (type I error), and various statistical strategies have been developed to compensate for this inflated risk.459”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [459] source
Not checked in the free run.
- Premisecitation
Some types of monitoring have stronger evidence for their benefits and efficiency than others.
“Some types of monitoring have stronger evidence for their benefits and efficiency than others.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Trial monitoring was addressed in 13% to 76% of protocols approved in 2016 or published in 2019-20.
“Trial monitoring was addressed in 13% to 76% of protocols approved in 2016 or published in 2019-20.9 10 11 467”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
The trial protocol that is initially approved by the research ethics committee undergoes subsequent modification in 34% to 59% of trials.
“The trial protocol that is initially approved by the research ethics committee undergoes subsequent modification in 34% to 59% of trials.35 216 249 473 474”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Numerous studies have shown substantive changes between prespecified methods and those reported in trial publications.
“Numerous studies have shown substantive changes between prespecified methods (eg, as stated in approved protocols, registries, or regulatory agency submissions) and those reported in trial publications, including changes to primary outcomes,254 256 257 475 sample size calculations,200 eligibility criteria,215 216 476 and interventions,477 as well as methods of allocation concealment,329 blinding,5”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Substantive amendments can introduce bias if the changes are made based on the trial data.
“and they can introduce bias if the changes are made based on the trial data.256 257 475”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Substantive amendments can create challenges to data analysis and interpretation if they occur part way through the trial.
“Substantive amendments can create challenges to data analysis and interpretation if they occur part way through the trial (eg, changes in eligibility criteria),481”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [481] source
Not checked in the free run.
- Premisecitation
These substantive modifications are rarely acknowledged in the final trial reports.
“These substantive modifications are rarely acknowledged in the final trial reports.200 249 250 480”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Central statistical monitoring has been shown to improve multiple indicators of data quality.
“For example, central statistical monitoring has been shown to improve multiple indicators of data quality.468 469”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
In a sample of trial protocols approved in 2016, 66% to 77% reported how amendments would be handled.
“In a sample of trial protocols approved in 2016, 66% to 77% reported how amendments would be handled.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Reviews of pharmaceutical industry trials found that a third to a half of amendments could have been avoided with greater attention to key problems in the protocol.
“While some amendments may be unavoidable, reviews of pharmaceutical industry trials found that a third to a half of amendments could have been avoided with greater attention to key problems in the protocol.35 474”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Reviews of two samples of 108 and 292 trial protocols from 2016 found that 56% and 32%, respectively, addressed ancillary and post-trial care.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 56% and 32%, respectively, addressed ancillary and post-trial care.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Comparisons between protocols and trial reports have identified considerable problems with selective reporting of outcomes and trial results.
“Comparisons between protocols and trial reports have identified considerable problems with selective reporting of outcomes and trial results.64 249”
Quote in the paperSubstantial claim0 of 2 sources checked
- Classified as probably not a substantial claim. 161
- May combine two claims. 79
Classified as probably not a substantial claim. May combine two claims.
FindingcitationSPIRIT 2025 consists of a 34-item checklist of the minimum recommended protocol items and a diagram illustrating the schedule of enrolment, interventions, and assessments.
“an international group developed and published the updated SPIRIT 2025 statement13—consisting of a 34 item checklist of the minimum recommended protocol items (table 1); a diagram illustrating the schedule of enrolment, interventions, and assessments (fig 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] source
Not checked in the free run.
Classified as probably not a substantial claim.
Findingnone givenThe SPIRIT 2025 statement comprises a checklist of 34 essential items for reporting protocols of randomised trials.
“The SPIRIT 2025 statement comprises a checklist of 34 essential items for reporting protocols of randomised trials”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMembers of the core writing group developed a draft for individual items, which was revised iteratively after comments from all authors.
“Members of the core writing group (IB, A-WC, GSC, SH, AH, DM, KFS, RT) developed a draft for individual items. The draft was revised iteratively after comments from all authors.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe approach for developing the SPIRIT 2025 explanation and elaboration document was modelled on the procedures for the SPIRIT 2013 explanation and elaboration document.
“We modelled our approach for developing the SPIRIT 2025 explanation and elaboration document on the procedures for the SPIRIT 2013 explanation and elaboration document.25”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenHigh quality protocols facilitate proper planning, conduct, reporting, and external review of randomised trials.
“High quality protocols facilitate proper planning, conduct, reporting, and external review of randomised trials”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSome items had little or no identified empirical evidence but their inclusion in the checklist was supported by a strong pragmatic or ethical rationale.
“Some items had little or no identified empirical evidence (eg, item 1a, Title) but their inclusion in the checklist was supported by a strong pragmatic or ethical rationale.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningExamples are quoted verbatim from the trial protocol.
“Examples are quoted verbatim from the trial protocol.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisereasoningAs the content and context of randomised trials evolve, both SPIRIT and CONSORT statements require periodic updating to reflect new evidence, methodological advances, and feedback from users.
“Also, as the content and context of randomised trials evolve, both SPIRIT and CONSORT statements require periodic updating to reflect new evidence, methodological advances, and feedback from users.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTo identify examples for each checklist item, protocols were obtained from public websites, journal publications, and appendices to published trials.
“To identify examples for each checklist item, we obtained protocols from public websites, journal publications, and appendices to published trials.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
Study design and conductnone givenWhen citing empirical evidence, the authors aimed to reference a systematic review when available.
“When citing empirical evidence, we aimed to reference a systematic review when available.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationFor each checklist item, references to core empirical studies supporting its inclusion were provided, identified through a continuously updated project database.
“For each checklist item, we provided references to core empirical studies supporting its inclusion, which we identified through a continuously updated project database.20”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningStudies were cited if they provided empirical data to support or challenge a given protocol concept.
“Studies were cited if they provided empirical data to support or challenge a given protocol concept.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe methods used to update the SPIRIT and CONSORT statements followed the EQUATOR Network guidance for developers of health research guidelines.
“The methods used to update the SPIRIT and CONSORT statements followed the EQUATOR (Enhancing the Quality and Transparency Of Health Research) Network guidance for developers of health research guidelines.16”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] source
Not checked in the free run.
May combine two claims.
PremisecitationThe completeness of trial protocols varies and key elements are often not considered.
“yet their completeness varies and key elements are often not considered”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenExemplars were selected to reflect how key elements could be appropriately described in a trial protocol.
“Exemplars were selected to reflect how key elements could be appropriately described in a trial protocol.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe SPIRIT 2025 update identified relevant SPIRIT or CONSORT extensions and related guidelines.
“identified relevant SPIRIT or CONSORT extensions and related guidelines (eg,21 22 23 24)”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe SPIRIT 2025 update generated a list of potential modifications or additions to SPIRIT and CONSORT, which was presented to interested parties in an online Delphi survey involving 317 international participants.
“We then generated a list of potential modifications or additions to SPIRIT and CONSORT, which we presented to interested parties in an online Delphi survey involving 317 international participants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationThe title provides an important means of trial identification.
“The title provides an important means of trial identification.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationSPIRIT 2025 was developed in parallel with the updated CONSORT 2025 to harmonise recommendations and terminology.
“SPIRIT 2025 was developed in parallel with the updated CONSORT 2025 to harmonise recommendations and terminology.7 14”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe SPIRIT 2025 update included a scoping review of published comments suggesting changes to SPIRIT 2013 and CONSORT 2010.
“conducted a scoping review of published comments suggesting changes to SPIRIT 2013 and CONSORT 2010,18”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Premisenone givenA structured summary provides an accessible overview of the planned trial for users of the protocol.
“A structured summary provides an accessible overview of the planned trial for users of the protocol.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe Delphi survey results were discussed at a two day online expert consensus meeting attended by 30 international experts before drafting the updated SPIRIT 2025 and CONSORT 2025 checklists.
“The Delphi survey results were then discussed at a two day online expert consensus meeting attended by 30 international experts before we drafted the updated SPIRIT 2025 and CONSORT 2025 checklists and finalised them based on further feedback from people who attended the meeting.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe WHO Trial Registration Data Set defines the minimum information to be included in a trial registry for a trial to be considered fully registered.
“This dataset defines the minimum information to be included in a trial registry for a trial to be considered fully registered (item 4).30”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] World Health Organization. WHO Trial Registration Data Set (Version 1.3.1). https://www.who.int/clinical-trials-registry-platform/network/who-data-set [Accessed 12 Mar 2024].
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationA succinct description that conveys the topic and trial design will facilitate retrieval from electronic database or internet searches and rapid judgment of relevance.
“A succinct description that conveys the topic (study population, intervention, comparator) and trial design (eg, parallel group randomised trial) will facilitate retrieval from electronic database or internet searches and rapid judgment of relevance.28”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSPIRIT 2025 reflects the collaboration and input of multiple contributors, including trial investigators, healthcare professionals, methodologists, statisticians, patient and public contributors, journal editors, and research funders.
“SPIRIT 2025 reflects the collaboration and input of multiple contributors, including trial investigators, healthcare professionals, methodologists, statisticians, patient and public contributors, journal editors, and research funders.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe reporting of protocols for randomised trials has improved somewhat since 2013 but remains far from adequate.
“Although the reporting of protocols for randomised trials has improved somewhat since 2013 it remains far from adequate.9 10 11 12”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationNaming of authors can help to identify conflicts of interest and reduce ghost and gift authorship.
“Naming of authors can also help to identify conflicts of interest (item 7b) and reduce ghost and gift authorship.38 39 40 41”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor some investigator initiated trials, the principal investigator can be considered to be a sponsor-investigator, assuming the roles of both sponsor and investigator.
“For some investigator initiated trials, the principal investigator can be considered to be a sponsor-investigator, assuming the roles of both sponsor and investigator.46”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). Integrated addendum to ICH E6(R1): guideline for good clinical practice E6(R2). Step 4 version dated 9 November 2016. https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf.
Not checked in the free run.
May combine two claims.
PremisecitationDocumentation of a trial's existence and prespecified outcomes in a publicly accessible registry helps increase transparency, decrease unnecessary duplication of research effort, facilitate identification of ongoing trials for prospective participants, and identify and deter selective reporting of study results.
“Documentation of a trial’s existence and prespecified outcomes in a publicly accessible registry helps to increase transparency, decrease unnecessary duplication of research effort, facilitate identification of ongoing trials for prospective participants, and identify and deter selective reporting of study results.63 64”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningTransparent tracking of versions and amendments facilitates trial conduct, review, and oversight.
“Transparent tracking of versions and amendments facilitates trial conduct, review, and oversight.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTypically, the statistical analysis plan is a separate document that should be read in conjunction with the protocol, but for some trials with simple analyses, it can be included as part of the protocol.
“Typically, the statistical analysis plan is a separate document that should be read in conjunction with the protocol, but for some trials with simple analyses, it can be included as part of the protocol.72”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningListing the protocol authors, their affiliations, and their role in the protocol development process provides due recognition, accountability, and transparency.
“Listing the protocol authors, their affiliations, and their role in the protocol development process provides due recognition, accountability, and transparency.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that 57% and 78%, respectively, reported the name and contact details of the sponsor.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 57% and 78%, respectively, reported the name and contact details of the sponsor.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
InterpretationreasoningReporting of the WHO Trial Registration Data Set in the protocol can facilitate the prospective transfer of accurate information to a trial registry.
“Reporting of the dataset in the protocol can facilitate the prospective transfer of accurate information to a trial registry (ie, before inclusion of the first trial participant).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn two samples of 108 and 292 trial protocols from 2016, 98% and 92% respectively reported steering committee membership and roles.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 98% and 92%, respectively, reported the steering committee membership and roles.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationMost industry initiated trials are controlled by the company sponsoring and funding the trial; this authority is often enforced by contractual agreements signed between the company and trial investigators.
“Most industry initiated trials are controlled by the company sponsoring and funding the trial; this authority is often enforced by contractual agreements signed between the company and trial investigators.38 48”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRandomised trials often include various committees or groups (e.g., a trial management group for day-to-day conduct and a trial steering committee for executive decisions) to facilitate trial coordination and conduct.
“A randomised trial will often include various committees or groups to facilitate trial coordination and conduct—for example, a trial management group (day-to-day trial conduct) and a trial steering committee (executive decisions).54 55”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA trial registration number can serve to link all documents related to a trial, starting with the protocol.
“A trial registration number can serve to link all of the documents related to a trial, starting with the protocol.65”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Interpretationnone givenIdentification of the trial sponsor provides transparency and accountability and can help to identify conflicts of interest.
“Identification of the trial sponsor provides transparency and accountability and can also help to identify conflicts of interest (item 7b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn general, the company is the sponsor in industry initiated trials, whereas the institution of the primary investigator is often the sponsor for investigator initiated trials.
“In general, the company is the sponsor in industry initiated trials, whereas the institution of the primary investigator is often the sponsor for investigator initiated trials.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). Integrated addendum to ICH E6(R1): guideline for good clinical practice E6(R2). Step 4 version dated 9 November 2016. https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf.
Not checked in the free run.
May combine two claims.
PremisecitationThe naming of authors and a description of their roles are standard for protocols published in journals such as Trials and BMJ Open, but they are less common for unpublished protocols.
“The naming of authors and a description of their roles are standard for protocols published in journals such as Trials and BMJ Open, but they are less common for unpublished protocols.”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationRegistration of clinical trials should occur before recruitment of the first trial participant, as mandated by ICMJE and jurisdictional legislation.
“As mandated by the ICMJE and jurisdictional legislation,31 32 66 registration of clinical trials should occur before recruitment of the first trial participant.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [31] European Commission. Clinical trials - Regulation EU No 536/2014. 2022. https://health.ec.europa.eu/medicinal-products/clinical-trials/clinical-trials-regulation-eu-no-5362014_en.
Not checked in the free run.
- cites [32] source
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- cites [66] United States Congress. Food and Drug Administration Amendments Act of 2007, Title VIII, Section 801. Expanded clinical trial registry data bank. 2007. https://www.govtrack.us/congress/bills/110/hr3580/text.
Not checked in the free run.
Classified as probably not a substantial claim.
InterpretationreasoningSequentially labelling and dating each protocol version helps to mitigate potential confusion over which document is the most recent.
“Sequentially labelling and dating each protocol version helps to mitigate potential confusion over which document is the most recent.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningReporting of the WHO Trial Registration Data Set in the protocol can signal the need for updates to the registry record when associated protocol sections are amended, thereby promoting consistency of information between the protocol and registry.
“This can also signal the need for updates to the registry record when associated protocol sections are amended—thereby promoting consistency of information between the protocol and registry.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationChanges to the protocol and statistical analysis plan may happen after the trial begins, often for legitimate reasons-for example, in response to new evidence or unanticipated challenges.
“Changes to the protocol and statistical analysis plan may happen after the trial begins, often for legitimate reasons—for example, in response to new evidence or unanticipated challenges.73”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] source
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PremisecitationAmendments to the trial protocol are common.
“Amendments to the trial protocol are common.35 36”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe WHO Trial Registration Data Set standards are supported by the International Committee of Medical Journal Editors, other journal editors, and legislation in many countries.
“These standards are supported by the International Committee of Medical Journal Editors (ICMJE), other journal editors, and legislation in many countries.31 32 33”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [31] European Commission. Clinical trials - Regulation EU No 536/2014. 2022. https://health.ec.europa.eu/medicinal-products/clinical-trials/clinical-trials-regulation-eu-no-5362014_en.
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- cites [32] source
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- cites [33] National Institutes of Health Department of Health and Human Services. Final Rule 81 FR 64982: Clinical Trials Registration and Results Information Submission. https://www.federalregister.gov/documents/2016/09/21/2016-22129/clinical-trials-registration-and-results-information-submission. 2016:64982-5157.
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PremisecitationIn two samples of 108 and 292 trial protocols from 2016, 65% and 62% respectively reported declarations of interests.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 65% and 62%, respectively, reported declarations of interests.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationAlthough peer reviewers and journal editors can be biased in favour of positive findings, lack of publication seems primarily due to trial investigators or sponsors failing to submit negative or null results, rather than journals rejecting them.
“Although peer reviewers and journal editors can be biased in favour of positive findings,119 lack of publication seems to be primarily due to trial investigators or sponsors failing to submit negative or null results, rather than journals rejecting them.114 120”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn a growing number of jurisdictions, some funders require a commitment on the part of researchers to share their data; similarly, some journals require data sharing statements as part of the article submission process.
“In a growing number of jurisdictions (eg, Canada, US, UK), some funders now require a commitment on the part of researchers to share their data (eg, US National Institutes of Health, UK National Institute for Health and Care Research, Gates Foundation). Similarly, some journals require data sharing statements as part of the article submission process (eg, The BMJ, PLOS Medicine).91 92”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRandomised trials require considerable funding, typically from drug or device companies (industry funded) or from scientific or private foundations, or governmental or non-governmental organisations (non-industry funded).
“A randomised trial requires considerable funding, typically from drug or device companies (ie, industry funded) or from scientific or private foundations, or governmental or non-governmental organisations (ie, non-industry funded).102”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [102] source
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PremisecitationUndue influence on trials from non-industry funders with a strong interest in a specific trial result has been described, although studied less.
“Undue influence on trials from non-industry funders with a strong interest in a specific trial result has been described,107 although studied less.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [107] source
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PremisecitationMeta-research studies found more than a quarter of unpublished trials in various countries had results available in trial registries, and some data (particularly harms) were more completely reported in registries than in journal publications.
“Meta-research studies have found that more than a quarter of unpublished trials in various countries had results available in trial registries, and some data (particularly harms) were more completely reported in registries than in journal publications.113 124 125 126 127”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOne study estimated the median cost for each phase 3 industry funded trial to be $21.4m (£16.9m; €20.5m), with substantial variation.
“One study estimated the median cost for each phase 3 industry funded trial to be $21.4m (£16.9m; €20.5m),103 with substantial variation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] source
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PremisecitationIn two samples of 108 and 292 trial protocols from 2016, 91% and 83% respectively described funding sources.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 91% and 83%, respectively, described funding sources.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBeyond journal publication, trial registries and preprint servers are important venues for dissemination.
“Beyond journal publication, trial registries and preprint servers are important venues for dissemination.121 122 123”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationFor some trials, especially those sponsored by industry, access to the final trial dataset is restricted to the sponsor, which can introduce concerns about potential conflicts of interest.
“For some trials, especially those sponsored by industry, access to the final trial dataset is restricted to the sponsor, which can introduce concerns about potential conflicts of interest (item 3c).99”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [99] source
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PremisecitationConflicts of interest are most often associated with drug and device industries, but may exist with support from or affiliation with government agencies, charities, and professional and civic organisations, although these associations have been much less investigated.
“Conflicts of interest are most often associated with drug and device industries, but they may exist with support from or affiliation with government agencies, charities (not-for-profit organisations), and professional and civic organisations,107 although these associations have been much less investigated.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [107] source
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PremisecitationThe World Medical Association supports the principle that trial investigators retain the right to access the data.
“The World Medical Association supports the principle that trial investigators retain the right to access the data.98”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [98] World Medical Association. World Medical Association statement on conflicts of interest. Adopted by the 60 WMA General Assembly, New Delhi, India, October 2009 and editorially revised by the 201st WMA Council Session, Moscow, Russia, October 2015. https://www.wma.net/policies-post/wma-statement-on-conflict-of-interest/.
Not checked in the free run.
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PremisecitationAccess to protocols and statistical analysis plans may help with trial appraisal, interpretation, and replication, as well as identification of selective outcome reporting.
“Having access to these documents may help with trial appraisal, interpretation, and replication, as well as identification of selective outcome reporting.81 82”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFunding of a trial typically involves direct monetary support, but financial support might also be provided indirectly in the form of free trial drugs, equipment, or services such as statistical analysis or use of medical writers.
“Funding of a trial typically involves direct monetary support, but financial support might also be provided indirectly in the form of free trial drugs, equipment, or services such as statistical analysis or use of medical writers.105”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [105] source
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PremisecitationConsent for data sharing can be obtained from trial participants upon enrolment, whereas approval for data sharing is typically obtained from research ethics committees and data access committees.
“Consent for data sharing can be obtained from trial participants upon enrolment, whereas approval for data sharing is typically obtained from research ethics committees and data access committees.90”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] source
Not checked in the free run.
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PremisecitationThe medical literature represents a biased subset of existing data, potentially leading to overestimation of benefits, underestimation of harms, and detrimental impact on patient care and research.
“Overall, the medical literature represents a biased subset of existing data, potentially leading to overestimation of benefits, underestimation of harms, and a detrimental impact on patient care and research.112 117 118”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationAmong 224 randomised trials of interventions for covid-19, 68 (30%) reported in a trial registry the intention to share data, but only 50 (22%) actually shared individual patient data upon request or in a repository.
“For example, among 224 randomised trials of interventions for covid-19, 68 (30%) reported in a trial registry the intention to share data, but only 50 (22%) actually shared individual patient data upon request or in a repository.96”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] source
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PremisecitationThe mean cost of clinical trials funded by the UK National Institute for Health and Care Research was about £1.3m, with considerable variation.
“The mean cost of clinical trials funded by the UK National Institute for Health and Care Research was lower but still sizeable at about £1.3m, and also with considerable variation.104”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [104] source
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PremisecitationOne review of eight published meta-epidemiological studies found that on average odds ratios from industry funded trials did not differ significantly from non-industry funded trials; however, in the subset of trials with a high risk of industry funder influence, the difference was 12% (95% CI 3% to 19%).
“One review of eight published meta-epidemiological studies reported that, on average, odds ratios from industry funded trials did not differ significantly from those of non-industry funded trials. However, in the subset of trials with a high risk of industry funder influence (eg, on trial design, conduct, and analysis), the difference was 12% (95% CI 3% to 19%).52”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] source
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PremisecitationAlthough both industry funded and non-industry funded trials are susceptible to bias, industry funding is associated with conclusions that favour the intervention.
“Although both industry funded and non-industry funded trials are susceptible to bias, industry funding is associated with conclusions that favour the intervention.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [106] source
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PremisecitationMany journals routinely publish a statement about sharing of protocols, statistical codes, and datasets for all their published research articles.
“Many journals routinely publish a statement about sharing of protocols, statistical codes, and datasets for all their published research articles.83”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] source
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PremisecitationSome trial groups have worked collaboratively to conduct individual patient data meta-analysis.
“Some trial groups have worked collaboratively to conduct individual patient data meta-analysis.86”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [86] source
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PremisecitationConcerns about data sharing involve a perceived risk of reidentification of individuals, especially in trials enrolling participants with rare diseases, and inappropriate use of the data by other researchers or groups with a particular agenda can be a barrier to sharing.
“Concerns about data sharing involve a perceived risk of reidentification of individuals, especially in trials enrolling participants with rare diseases. Also, inappropriate use of the data by other researchers or groups with a particular agenda can be a barrier to sharing.89”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [89] source
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PremisecitationUnderstanding the rationale or theory underpinning an intervention helps readers understand which aspects or components are likely essential to its efficacy or harm, and which are likely incidental.
“Understanding the rationale or theory underpinning an intervention helps readers to understand which aspects or components are likely to be essential to its efficacy or harm, and which are likely to be incidental.24”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] source
Not checked in the free run.
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PremisecitationAlmost all journals are supportive of preprinting trial protocols and completed studies before formal journal submission.
“Almost all journals are supportive of preprinting trial protocols and completed studies128 before formal journal submission.129 130 131”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [128] Sherpa Romeo. https://www.sherpa.ac.uk/romeo/ [Accessed 8 Nov 2023].
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- cites [129] ASAPbio. Preprint resource centre. https://asapbio.org/preprint-info [Accessed 8 Nov 2023].
Not checked in the free run.
- cites [130] source
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Classified as probably not a substantial claim.
PremisecitationThe choice of comparator has important implications for trial ethics, recruitment, results, and interpretation.
“The choice of comparator has important implications for trial ethics, recruitment, results, and interpretation.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSubstantive contributions to the design, conduct, interpretation, and reporting of a clinical trial are recognised through the granting of authorship on the final trial report.
“Substantive contributions to the design, conduct, interpretation, and reporting of a clinical trial are recognised through the granting of authorship on the final trial report.43”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] International Committee of Medical Journal Editors. Defining the Role of Authors and Contributors. https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html.
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PremisecitationSeveral funders request background information on the cumulative evidence in grant applications.
“Several funders request this background information in grant applications.146 147”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [146] Canadian Institutes of Health Research. RCT evaluation criteria and headings. 2024. https://www.cihr.ca/e/39187.html.
Not checked in the free run.
- cites [147] British Heart Foundation. Clinical Study Grant full application guidance. https://www.bhf.org.uk/for-professionals/information-for-researchers/what-we-fund/clinical-study/full-clinical-study-grant-application-guidance [Accessed 12 Sep 2023].
Not checked in the free run.
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Premisecitation23 of 147 investigator sponsored trials (16%) reported their results in a trial registry, compared with 150 of 179 industry sponsored trials (84%).
“Twenty three of 147 investigator sponsored trials (16%) reported their results in a trial registry in contrast with 150 of 179 industry sponsored trials (84%).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [113] source
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PremisecitationInformation about background is particularly important to trial participants as it provides motivation for contributing to the trial.
“This information is particularly important to the trial participants as it provides motivation for contributing to the trial.140”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [140] source
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PremisecitationInitial data suggest a few differences between trial results on preprint servers and those on final publication.
“Initial data suggest a few differences between trial results on preprint servers and those on final publication.132 133 134”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe appropriateness of using comparator groups only receiving placebo has been the subject of extensive debate.
“The appropriateness of using comparator groups only receiving placebo has been the subject of extensive debate and merits careful consideration of the existence of other effective treatments, the potential risks to trial participants, and the need for assay sensitivity—that is, the ability to distinguish an effective intervention from less effective or ineffective interventions.160”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [160] source
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PremisecitationA plain language summary of results for the wider public serves to increase public knowledge and inform future patients.
“A plain language summary of results for the wider public also serves to increase public knowledge and inform future patients.137”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [137] source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationConcerns have been raised that the precise research questions that randomised trials are intended to answer are often unclear.
“Concerns have been raised that the precise research questions that randomised trials are intended to answer are often unclear.168”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [168] source
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PremisecitationCommunication of the trial results directly to the trial participants is widely considered an ethical responsibility supported by both researchers and participants.
“Communication of the trial results directly to the trial participants is widely considered an ethical responsibility supported by both researchers and participants.136”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [136] source
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PremisecitationSurgical placebo interventions require additional ethical and methodological considerations.
“Surgical placebo interventions require additional ethical and methodological considerations, as detailed by the Applying Surgical Placebo in Randomised Evaluations (ASPIRE) guidelines.162”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [162] source
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PremisecitationThe Declaration of Helsinki states that biomedical research involving people should be based on thorough knowledge of scientific literature, as it is unethical to expose humans unnecessarily to risks of research.
“The World Medical Association’s Declaration of Helsinki states that biomedical research involving people should be based on a thorough knowledge of the scientific literature, as it is unethical to expose humans unnecessarily to the risks of research.2”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] source
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PremisecitationIn an analysis of Medicare National Claim files of 167 208 patients undergoing coronary stent surgery, patients treated by high volume doctors and at high volume centres experienced better outcomes compared with those treated by low volume doctors at low volume centres.
“For example, in an analysis of Medicare National Claim files of 167 208 patients undergoing coronary stent surgery, patients treated by high volume doctors and at high volume centres experienced better outcomes compared with those treated by low volume doctors at low volume centres.225”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [225] source
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PremisecitationInput from patient and public contributors and partners can help researchers to identify and prioritise research topics and questions, identify relevant outcome measures, boost recruitment and retention, improve trial design and tools, and improve the ethical acceptability of trial protocols to potential participants.
“Input from the patient and public contributors and partners186 can help researchers to identify and prioritise research topics and questions, identify relevant outcome measures, boost recruitment and retention, improve trial design and tools, and improve the ethical acceptability of trial protocols to potential participants.186 187 188”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that strategies to improve adherence were addressed in 86% to 90%, respectively.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that strategies to improve adherence were addressed in 86% to 90%, respectively.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOf the 1000 trials, 88% had two groups, 8% had three groups, and 4% had four or more groups.
“Of the 1000 trials, 88% had two groups, 8% had three groups, and 4% had four or more groups.191”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [191] source
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PremisecitationFunding bodies are increasingly encouraging or requiring researchers to include patient and public contributors in grant applications.
“Funding bodies are increasingly encouraging or requiring researchers to include patient and public contributors in grant applications.179 183 184”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [179] NIHR. Briefing notes for researchers - public involvement in NHS, health and social care research. Version 1.0 - April 2021. https://www.nihr.ac.uk/documents/briefing-notes-for-researchers-public-involvement-in-nhs-health-and-social-care-research/27371.
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- cites [183] Consumers Health Forum of Australia. Statement on Consumer and Community involvement in Health and Medical Research. 2016. https://www.nhmrc.gov.au/sites/default/files/documents/reports/consumer-community-involvement.pdf.
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- cites [184] Canadian Institutes of Health Research. Strategy for Patient-Oriented Research: Patient Engagement Framework. https://cihr-irsc.gc.ca/e/documents/spor_framework-en.pdf [Accessed 9 Sep 2023].
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PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that patient eligibility criteria were reported in 100% of protocols.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that patient eligibility criteria were reported in 100% of protocols.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn articles published in The BMJ family journals, which require a patient and public involvement section, about 40% of these statements reported that such activities were conducted.
“In articles published in The BMJ family journals, which require a patient and public involvement section, about 40% of these statements reported that such activities were conducted.185”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [185] source
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PremisecitationMost trials are designed to identify the superiority of an intervention, whereas others are designed to assess non-inferiority or equivalence.
“Most trials are designed to identify the superiority of an intervention, whereas others are designed to assess non-inferiority or equivalence.196”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [196] source
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PremisecitationThe estimands framework provides a structured description of the treatment effect in an attempt to bring clarity to specifying the research question.
“The estimands framework provides a structured description of the treatment effect in an attempt to bring clarity to specifying the research question, which can be used to guide the study design, data collection, and statistical analysis methods.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [169] source
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PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that 91% and 94%, respectively, described the specific objectives of the trial.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 91% and 94%, respectively, described the specific objectives of the trial.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMost of these trials included patient and public contributors at the trial design stage.
“Most of these trials included patient and public contributors at the trial design stage.185”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [185] source
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PremisecitationA systematic review of 135 trials found that 71% observed a positive association between hospital volume and outcomes and 70% observed an association between care provider volume and outcomes.
“A systematic review of 135 trials found that 71% observed a positive association between hospital volume and outcomes and 70% observed an association between care provider volume and outcomes.223”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [223] source
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PremisecitationA review of 1000 randomised trials indexed in PubMed in 2016 showed that 85% had a parallel group design, whereas the other main designs were crossover (7%) and cluster (5%).
“A review of 1000 randomised trials indexed in PubMed in 2016 showed that 85% had a parallel group design, whereas the other main designs were crossover (7%) and cluster (5%).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [191] source
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PremisecitationRecently, some trials are being designed using the estimands framework to define the research question and trial objectives.
“Recently, some trials are being designed using the estimands framework to define the research question and trial objectives.177”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [177] source
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PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that the specific measurement variable was reported in 89% to 97%, respectively, whereas fewer specified the analysis metric (83% to 90%) and time point of main interest (82% to 94%).
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that the specific measurement variable was reported in 89% to 97%, respectively, whereas fewer specified the analysis metric (83% to 90%) and time point of main interest (82% to 94%).9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSimilar findings were observed for a sample of protocols of published oncology trials.
“Similar findings were observed for a sample of protocols of published oncology trials.266”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [266] source
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InterpretationcitationSuch bias can only be identified and deterred if trial outcomes are clearly defined a priori in the protocol, and if protocol information is made public.
“Such bias can only be identified and deterred if trial outcomes are clearly defined a priori in the protocol, and if protocol information is made public.78 260 261 262”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Premisecitation18% and 25% of randomised trial protocols that received ethics approval in Switzerland and Denmark, respectively, did not designate any primary outcome.
“and in 18% and 25% of randomised trial protocols that received ethics approval in Switzerland and Denmark, respectively.249 255”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFactors such as participant burden and feasibility can affect the decision of potential investigators and participants to join the trial.
“These factors can also affect the decision of potential investigators and participants to join the trial (item 20).286”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [286] source
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PremisecitationA trial might knowingly be undertaken despite being underpowered, when the intent is for the trial to be incorporated into a prospectively planned meta-analysis.
“A trial might knowingly be undertaken despite being underpowered, when the intent is for the trial to be incorporated into a prospectively planned meta-analysis.292”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [292] Cochrane Prospective Meta-Analysis (PMA) Methods Group . https://methods.cochrane.org/pma/ 2024.
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InterpretationcitationThis information could be particularly important to evaluate the risk of bias owing to deviations from the intended intervention or comparator.
“This information could be particularly important to evaluate the risk of bias owing to deviations from the intended intervention or comparator234; an important domain of the risk of bias tool developed by the Cochrane Collaboration.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [234] source
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- Rests on an assumption: Assessing the risk of bias domain for deviations from the intended intervention requires a clear understanding of deviations that occur as planned in the protocol and deviations that arise owing to the experimental context.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHarms outcomes are often grouped by seriousness, severity, body system, discontinuation of interventions owing to harms, and attribution of causality.
“Harms outcomes are often grouped by seriousness, severity, body system, discontinuation of interventions owing to harms, and attribution of causality.276”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [276] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThese events can be caused by a variety of factors, including harms, improved health status, lack of efficacy, and withdrawal of participant consent.
“During a clinical trial, situations can emerge that necessitate changes in, or the discontinuation of, the allocated intervention or comparator for a participant. These events can be caused by a variety of factors, including harms, improved health status, lack of efficacy, and withdrawal of participant consent.233”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [233] US Food and Drug Administration. CFR - Code of Federal Regulations Title 21, Chapter I, Subchapter D, Part 312: Investigational new drug application. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?CFRPart=312&showFR=1&subpartNode=21:5.0.1.1.3.4 [Accessed 12 Sep 2023].
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA process of reporting important adverse events to relevant groups is defined by local regulation.
“a process that is defined by local regulation.284”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [284] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe association between sample size and detectable difference is not linear: for small differences, enormous sample sizes are required for a trial to be sufficiently powered to detect them.
“The association between sample size and detectable difference is not linear: for small differences, enormous sample sizes are required for a trial to be sufficiently powered to detect them.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe COMET initiative aims to facilitate the development and application of standardised sets of core outcomes for clinical trials of specific conditions.
“The COMET (Core Outcome Measures in Effectiveness Trials) initiative aims to facilitate the development and application of such standardised sets of core outcomes for clinical trials of specific conditions.265”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [265] The COMET Initiative. https://www.comet-initiative.org/ [Accessed 19 Jun 2024].
Not checked in the free run.
May combine two claims.
PremisecitationAlthough the many types of monitoring methods have limitations, they can inform the interpretation of the trial result.
“Although the many types of monitoring methods have limitations,243 they can inform the interpretation of the trial result.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [243] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Premisenone givenSample size calculations need to balance ethical, logistical, clinical, and statistical considerations to ensure the scientific question can be reliably and precisely answered without unnecessarily exposing individuals to ineffective or harmful interventions.
“Sample size calculations need to balance ethical, logistical, clinical, and statistical considerations to ensure the scientific question can be reliably and precisely answered without unnecessarily exposing individuals to ineffective or harmful interventions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the context of clinical trials, it can be difficult to accurately ascribe causation for an adverse event experienced by an individual participant.
“In the context of clinical trials, it can be difficult to accurately ascribe causation for an adverse event experienced by an individual participant.275”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [275] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningA concise timeline of planned study visits, enrolment, interventions, and assessments can help guide the conduct of a trial and enable external review of participant burden and feasibility.
“A concise timeline of the planned study visits, enrolment process, interventions, and assessments performed on participants can help to guide the conduct of a trial and enable external review of participant burden and feasibility.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationA complete description of the sample size calculation in the protocol enables an assessment of whether the trial will be adequately powered to detect a minimal clinically important difference.
“A complete description of the sample size calculation in the protocol enables an assessment of whether the trial will be adequately powered to detect a minimal clinically important difference.293”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [293] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe sample size calculation is a key component in the design of a randomised trial.
“The sample size calculation is a key component in the design of a randomised trial.290 291”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenFor trials with more than one primary outcome, a separate calculation can be performed for each, and the largest sample size used.
“For trials with more than one primary outcome, a separate calculation can be performed for each, and the largest sample size used.”
Quote in the paperNot a substantial claim- Rests on an assumption: The sample size calculation is generally based on one primary outcome.
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningSuccessful randomisation in practice depends on two interrelated factors: the adequate generation of an unpredictable allocation sequence and the concealment of that sequence until assignment occurs.
“Successful randomisation in practice depends on two interrelated factors the adequate generation of an unpredictable allocation sequence and the concealment of that sequence until assignment occurs.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationBlinding the interventions, using larger block sizes, and randomly varying the block size helps to avoid the problem of deducing next allocations from block size.
“Blinding the interventions, using larger block sizes, and randomly varying the block size helps to avoid this problem.321”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [321] Schulz KF Grimes DA . Essential Concepts in Clinical Research: randomized controlled trials and observational epidemiology. 2nd ed. Elsevier, 2019.
Not checked in the free run.
Classified as probably not a substantial claim.
PremisereasoningKnowledge of restricted randomisation details might undermine randomisation by facilitating deciphering of the allocation sequence.
“Knowledge of these details might undermine randomisation by facilitating deciphering of the allocation sequence.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationUse of terms such as randomisation without further elaboration in the protocol is not sufficient to describe the allocation process, as these terms have been used inappropriately to describe non-random, deterministic allocation methods such as alternation or allocation by date of birth.
“Use of terms such as randomisation without further elaboration in the protocol is not sufficient to describe the allocation process, as these terms have been used inappropriately to describe non-random, deterministic allocation methods such as alternation or allocation by date of birth.322”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [322] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenStratification requires some form of restriction (eg, blocking within strata) to be effective.
“Stratification requires some form of restriction (eg, blocking within strata) to be effective.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn general, non-random allocation methods introduce selection bias and biased estimates of an intervention's effect size.
“In general, these non-random allocation methods introduce selection bias and biased estimates of an intervention’s effect size.323 324 325 326 327 328”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe allocation concealment mechanism aims to prevent participants and recruiters from knowing the study group to which the next participant will be assigned.
“The allocation concealment mechanism aims to prevent participants and recruiters from knowing the study group to which the next participant will be assigned.336 346”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationAlthough most trials will use strategies to promote enrolment of participants, this information is often incompletely reported in trial protocols.
“Although most trials will use strategies to promote enrolment of participants, this information is often incompletely reported in trial protocols.9 10 317”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenDesign issues such as the number and stringency of eligibility criteria will also directly affect the number of eligible trial participants.
“Design issues such as the number and stringency of eligibility criteria will also directly affect the number of eligible trial participants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningWithout stratification, study groups might not be well matched for baseline characteristics, such as age and stage of disease, especially in small trials.
“Without stratification, study groups might not be well matched for baseline characteristics, such as age and stage of disease, especially in small trials.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenSimple randomisation is perfectly unpredictable.
“However, simple randomisation procedures could be reported in detail in the protocol because simple randomisation is perfectly unpredictable.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningStratification is used to ensure a good balance in characteristics of participants between each group.
“Stratification is used to ensure a good balance in characteristics of participants between each group.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningSelection bias can also be a problem in trials where everyone is supposedly blinded (masked), but the blinding is ineffective, or the harms from the intervention provide clues such that treatments can be guessed.
“It can also be a problem in trials where everyone is supposedly blinded (masked), but the blinding is ineffective, or the harms from the intervention provide clues such that treatments can be guessed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenSelection bias is mainly a problem in open label trials where everyone becomes aware of the intervention after assignment.
“Selection bias is mainly a problem in open label trials where everyone becomes aware of the intervention after assignment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenBlocked randomisation assures that study groups of about the same size will be generated when an allocation ratio of 1:1 is used.
“Blocked randomisation (also called permuted block randomisation) assures that study groups of about the same size will be generated when an allocation ratio of 1:1 is used.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningBias presumably arises from the inability to adequately conceal these more predictable, non-random sequence generation systems.
“Bias presumably arises from the inability to adequately conceal (item 22) these more predictable, non-random sequence generation systems.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAdditional elements for trial designs other than parallel group superiority trials are often not described in final trial reports and are infrequently specified in the protocol.
“Such elements are often not described in final trial reports,299 300 301 302 and they are infrequently specified in the protocol.303”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that 99% reported the estimated sample size but only 57% to 78%, respectively, reported the assumed outcome values involved.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 99% reported the estimated sample size but only 57% to 78%, respectively, reported the assumed outcome values involved.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationRandomisation decreases selection bias in allocation, helps to facilitate blinding after allocation, and enables the use of probability theory to test whether any difference in outcome between trial groups reflects chance.
“Randomisation decreases selection bias in allocation, helps to facilitate blinding after allocation, and enables the use of probability theory to test whether any difference in outcome between trial groups reflects chance.321”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [321] Schulz KF Grimes DA . Essential Concepts in Clinical Research: randomized controlled trials and observational epidemiology. 2nd ed. Elsevier, 2019.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenMinimisation lacks the theoretical basis for eliminating bias on all known and unknown factors.
“Conversely, minimisation lacks the theoretical basis for eliminating bias on all known and unknown factors.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSuccessful randomisation in practice depends on two interrelated factors: generation of an unpredictable allocation sequence and concealment of that sequence until assignment irreversibly occurs.
“Successful randomisation in practice depends on two interrelated factors: generation of an unpredictable allocation sequence (item 21), and concealment of that sequence until assignment irreversibly occurs.336 346”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationDifferent recruitment methods can substantially affect the number and type of trial participants recruited and can incur different costs.
“Different recruitment methods can substantially affect the number and type of trial participants recruited206 309 312 313 and can incur different costs.314 315 316”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhen uncertainty about a sample size estimate is acknowledged, there are methods to re-estimate sample size.
“When uncertainty about a sample size estimate is acknowledged, there are methods to re-estimate sample size.296”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [296] source
Not checked in the free run.
May combine two claims.
Interpretationnone givenInadequate enrolment reduces statistical power and can lead to early trial stoppage or to extensions resulting in delayed results and greater costs.
“Inadequate enrolment reduces statistical power and can lead to early trial stoppage or to extensions resulting in delayed results and greater costs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIn general, trials that use minimisation are usually considered methodologically similar to randomised trials, even when a random element is not incorporated.
“Nevertheless, in general, trials that use minimisation are usually considered methodologically similar to randomised trials, even when a random element is not incorporated.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe method of sequence generation was not described in three quarters of randomised trial protocols approved by a research ethics committee in Denmark in 1994-95, and a US cooperative cancer research group in 1968-2006.
“The method of sequence generation was not described in three quarters of randomised trial protocols approved by a research ethics committee in Denmark in 1994-95, and a US cooperative cancer research group in 1968-2006.329 330”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStandard processes are often implemented by local study staff to enhance data quality and reduce bias by detecting and reducing missing or incomplete data, inaccuracies, and excessive variability in measurements.
“Standard processes are often implemented by local study staff to enhance data quality and reduce bias by detecting and reducing the amount of missing or incomplete data, inaccuracies, and excessive variability in measurements.390”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [390] source
Not checked in the free run.
May combine two claims.
PremisecitationModified versions of validated instruments might no longer be considered validated, and use of unpublished measurement scales can introduce bias and inflate treatment effect sizes.
“Modified versions of validated instruments might no longer be considered validated, and use of unpublished measurement scales can introduce bias and inflate treatment effect sizes.388”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [388] source
Not checked in the free run.
May combine two claims.
PremisecitationCompared with paper based data collection, use of mobile devices and electronic data capture systems has the potential to improve protocol adherence, data accuracy, user acceptability, and timeliness of receiving data.
“Also, when compared with paper based data collection, the use of mobile devices and electronic data capture systems has the potential to improve protocol adherence, data accuracy, user acceptability, and timeliness of receiving data.385”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [385] source
Not checked in the free run.
May combine two claims.
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that 82% to 94% of protocols addressed the blinding status of participants and care providers, and 68% to 70% reported the blinding status of outcome assessors.
“Yet, reviews of two samples of 108 and 292 trial protocols from 2016 found that 82% to 94% of protocols addressed the blinding status of participants and care providers, and 68% to 70% reported the blinding status of outcome assessors.9 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 9 10
Not checked in the free run.
May combine two claims.
PremisecitationIn a sample of protocols from 1994, out of 55 protocols of trials planned as double blind, five (9%) provided no information beyond double blind, 25 (45%) reported a double dummy procedure, and 32 (58%) reported the compared interventions as being similar.
“The reporting in trial protocols of plans for inducing and maintaining blinding was studied in a sample of protocols from 1994.5 Out of 55 protocols of trials planned as double blind, five (9%) provided no information beyond double blind, 25 (45%) reported a double dummy procedure, and 32 (58%) reported the compared interventions as being similar.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBlinding of data monitoring committee members is generally discouraged.
“Blinding of data monitoring committee members is generally discouraged.363”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [363] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe exception to blinding outcome assessors is in trials with patient or participant reported outcomes where the patient is the outcome assessor.
“The exception is in trials with patient or participant reported outcomes (eg, pain) where the patient is the outcome assessor.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenInstruments with low interrater reliability will reduce statistical power, whereas those with low validity will not accurately measure the intended outcome variable.
“Instruments with low interrater reliability will reduce statistical power, whereas those with low validity will not accurately measure the intended outcome variable.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningAllocation concealment helps to ensure that a participant's decision to provide informed consent, or a recruiter's decision to enrol a participant, is not influenced by knowledge of the group to which they will be allocated if they join the trial.
“Allocation concealment helps to ensure that a participant’s decision to provide informed consent, or a recruiter’s decision to enrol a participant, is not influenced by knowledge of the group to which they will be allocated if they join the trial.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRoutinely collected data, such as from administrative databases, are increasingly used for data collection in randomised trials, although they may be associated with reduced effect estimates.
“Routinely collected data, such as from administrative databases, are increasingly used for data collection in randomised trials, although they may be associated with reduced effect estimates.389”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [389] source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Premisenone givenIt is important that emergency unblinding procedures are constrained to a single participant and that unblinding of additional participants is avoided.
“It is important that emergency unblinding procedures are constrained to a single participant and that unblinding of additional participants is avoided (item 24b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenEmergency unblinding reveals the assigned intervention of a trial participant, typically when the participant experiences potential harm from the intervention.
“Emergency unblinding reveals the assigned intervention of a trial participant, typically when the participant experiences potential harm from the intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMany groups can be blinded: trial participants, care providers, data collectors, outcome assessors, data analysts, and manuscript writers.
“Many groups can be blinded: trial participants, care providers, data collectors, outcome assessors, data analysts,362 and manuscript writers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [362] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenAchieving blinding of trial participants or staff requires adequate procedures for both induction and maintenance of blinding.
“Achieving blinding of trial participants or staff requires adequate procedures for both induction and maintenance of blinding.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationParticipant retention can be improved, such as by financial reimbursement, systematic methods and reminders for contacting patients, scheduling appointments, and monitoring retention, as well as limiting participant burden related to follow-up visits and procedures.
“Participant retention can be improved,205 235 395 such as by financial reimbursement, systematic methods and reminders for contacting patients, scheduling appointments, and monitoring retention, as well as limiting participant burden related to follow-up visits and procedures (item 18).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 205 235 395
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBlinding is commonly used to reduce the risk of bias in randomised trials.
“Blinding (masking)—the process of keeping the study group assignment hidden after allocation—is commonly used to reduce the risk of bias in randomised trials.355 356”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 355 356
Not checked in the free run.
May combine two claims.
PremisecitationMost trials will have some degree of non-retention, and the number of off-study participants usually increases with the duration of follow-up.
“Most trials will have some degree of non-retention, and the number of these off-study participants usually increases with the duration of follow-up.394”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [394] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningAn individual who generated the allocation sequence will likely have access to a copy of the sequence list and could consult it if enrolling and assigning participants, and thus could bias the enrolment or assignment process.
“For example, the individual who generated the allocation sequence will likely have access to a copy of the sequence list and could consult it if they were enrolling and assigning participants in a trial. Thus, that individual could bias the enrolment or assignment process.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe validity and reliability of trial data depend on the quality of the data collection methods.
“The validity and reliability of trial data depend on the quality of the data collection methods.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Premisenone givenAlthough independent double data entry is performed to detect data entry errors, the time and costs need to be weighed against the magnitude of reduction in error rates compared with single data entry.
“Although independent double data entry is performed to detect data entry errors, the time and costs need to be weighed against the magnitude of reduction in error rates compared with single data entry.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningDifferences in data entry methods can affect the trial in terms of data accuracy, cost, and efficiency.
“Differences in data entry methods can affect the trial in terms of data accuracy, cost, and efficiency.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Premisenone givenPlans to handle the data collected from trial participants helps to promote data validity and integrity.
“Plans to handle the data collected from trial participants helps to promote data validity and integrity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Premisenone givenA clear and comprehensive account of the planned statistical methods for a trial facilitates implementation, replication, and critical assessment.
“A clear and comprehensive account of the planned statistical methods for a trial facilitates implementation, replication, and critical assessment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDetails of all statistical analyses are often reported in a full statistical analysis plan-a document that accompanies a trial protocol.
“Details of all statistical analyses are often reported in a full statistical analysis plan—a document that accompanies a trial protocol.71”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStandard processes are often implemented to improve the accuracy of data entry and coding.
“Standard processes are often implemented to improve the accuracy of data entry and coding.390 404”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 390 404
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBecause missing data can be a major threat to trial validity and statistical power, data collection is often continued until a participant withdraws from the study.
“Because missing data can be a major threat to trial validity and statistical power, data collection is often continued until a participant withdraws from the study.396”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [396] PRincipleS for handling end-of-participation EVEnts in clinical trials REsearch: the PeRSEVERE principles. https://persevereprinciples.org/the-persevere-principles/ [Accessed 8 Nov 2023].
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisereasoningLocal data entry can enable fast correction of missing or inaccurate data, whereas central data entry facilitates blinding, standardisation, and training of a core group of data entry staff.
“Local data entry can enable fast correction of missing or inaccurate data, whereas central data entry facilitates blinding (masking), standardisation, and training of a core group of data entry staff.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWhen compared with paper case report forms, electronic data capture can reduce the time required for data entry and allow for efficient data validation, resolution of queries, and database release by combining data entry with data collection.
“For example, when compared with paper case report forms, electronic data capture can reduce the time required for data entry and allow for efficient data validation, resolution of queries, and database release by combining data entry with data collection (item 25a).385 403”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites 385 403
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGuidance is available on key problems to consider for dealing with multiplicity.
“Although no standardised rules exist for dealing with multiplicity, guidance is available on key problems to consider.411 412”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPlanning a prospective meta-analysis can in some situations help achieve sufficient power by pooling the results from multiple trials.
“Furthermore, planning a prospective meta-analysis can in some situations help achieve sufficient power by pooling the results from multiple trials.414”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [414] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationAn intention-to-treat analysis population is widely recommended as the preferred analysis population.
“An intention-to-treat analysis population is defined by the inclusion of outcome data from all participants in their originally allocated group—this is widely recommended as the preferred analysis population.360 419 420”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome trials are designed based on bayesian methods.
“Some trials are designed based on bayesian methods.416 417”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAmong protocols for randomised trials approved in 2016, 87% detailed the main analysis plan for the primary outcome.
“Among protocols for randomised trials approved in 2016, 87% detailed the main analysis plan for the primary outcome.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 reported that 69% and 74%, respectively, specified the analysis population.
“Reviews of two samples of 108 and 292 trial protocols from 2016 reported that 69% and 74%, respectively, specified the analysis population.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationSimple imputation methods (eg, last observation carried forward) introduce bias and ignore the uncertainty induced by missing data, leading to confidence intervals that are too narrow.
“Simple imputation methods (eg, last observation carried forward) may seem appealing but are not advisable as they introduce bias and ignore the uncertainty induced by missing data, leading to confidence intervals that are too narrow.433”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [433] source
Not checked in the free run.
May combine two claims.
PremisecitationThe mechanism resulting in missing data affects the risk of bias and decisions on how best to handle the missing data.
“The mechanism resulting in missing data affects the risk of bias and decisions on how best to handle the missing data.428 429”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSome reasons for missingness could be related to the treatment allocation, prognostic factors, or a particular adverse event or health outcome.
“Some reasons for missingness could be related to the treatment allocation, prognostic factors, or a particular adverse event or health outcome.427”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [427] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMultiple imputation is often recommended for participants with missing data, wherein missing outcomes or covariates are estimated using other variables.
“It is often recommended that participants with missing data be included in the analysis using multiple imputation, wherein the missing outcomes or covariates are estimated using other variables.432”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [432] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExamining differences in subgroups involves assessing the statistical interaction between a variable and the intervention effect.
“Examining differences in subgroups involves assessing the statistical interaction between a variable and the intervention effect.438”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [438] source
Not checked in the free run.
May combine two claims.
PremisecitationMissing data negatively affect trials by reducing statistical power and introducing potential bias.
“Missing data negatively affect trials by reducing statistical power and introducing potential bias.426”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [426] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationProtocol authors have a choice between various methods for handling anticipated missing data, including imputing data, fitting a mixed effects model to repeated measures data, or omitting participants.
“When planning to handle anticipated missing data, protocol authors have a choice between various methods, including imputing data, fitting a mixed effects model to repeated measures data, or omitting participants.428 429”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMany trials do not need a formal data monitoring committee; typically trials with a short duration or known minimal risks.
“Many trials do not, however, need a formal data monitoring committee450; typically trials with a short duration or known minimal risks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [450] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhen the findings from a sensitivity analysis are consistent with the primary results, confidence that the primary results are valid can be increased.
“When the findings from a sensitivity analysis are consistent with the primary results, confidence that the primary results are valid can be increased.445 447”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA data monitoring committee will often comprise members from a variety of disciplines.
“A data monitoring committee will often comprise members from a variety of disciplines.363 451 452”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe use of a data monitoring committee was reported for 29% of trial protocols approved from 2000 to 2003 in Switzerland, Germany, and Canada, and for about 40% of trials registered on ClinicalTrials.gov from 2007 to 2010.
“The use of a data monitoring committee was reported for 29% of trial protocols approved from 2000 to 2003 in Switzerland, Germany, and Canada,453 454 and for about 40% of trials registered on ClinicalTrials.gov from 2007 to 2010.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIndependence, particularly from the sponsor and trial investigators, is a key characteristic of the data monitoring committee.
“Independence, particularly from the sponsor and trial investigators, is a key characteristic of the data monitoring committee and can be broadly defined as the committee comprising members who are “completely uninvolved in the running of the trial and who cannot be unfairly influenced (either directly or indirectly) by people, or institutions, involved in the trial.”363 452”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCriteria for stopping for harm are often different from those for benefit and may or may not employ a formal statistical criterion.
“Criteria for stopping for harm are often different from those for benefit and may or may not employ a formal statistical criterion.458”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [458] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrespecified interim analyses can be used for other trial adaptations such as sample size re-estimation, alteration of the proportion of participants allocated to each study group, and changes to eligibility criteria.
“Aside from informing stopping guidelines, prespecified interim analyses can be used for other trial adaptations such as sample size re-estimation, alteration of the proportion of participants allocated to each study group, and changes to eligibility criteria.460”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [460] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA third of protocols for industry initiated randomised trials that received ethics approval in Denmark in 1994-95 stated that the sponsor had access to accumulating trial data, which can introduce potential bias due to conflicts of interests.
“A third of protocols for industry initiated randomised trials that received ethics approval in Denmark in 1994-95 stated that the sponsor had access to accumulating trial data, which can introduce potential bias due to conflicts of interests.38”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe results of interim analyses, along with non-statistical criteria, can be part of a stopping guideline that helps inform whether the trial should be continued, modified, or halted earlier than intended for benefit, harm, or futility.
“The results of these analyses, along with non-statistical criteria, can be part of a stopping guideline that helps inform whether the trial should be continued, modified, or halted earlier than intended for benefit, harm, or futility.457”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [457] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInterim analyses were described in a third of 894 trial protocols approved from 2000 to 2003 in Switzerland, Germany, and Canada.
“Interim analyses were described in a third of 894 trial protocols approved from 2000 to 2003 in Switzerland, Germany, and Canada.454”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [454] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that 58% reported whether a data monitoring committee would or would not be planned.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 58% reported whether a data monitoring committee would or would not be planned.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVarious statistical strategies have been developed to compensate for the inflated risk from multiple analyses of accumulating data.
“Multiple analyses of the accumulating data increase the risk of a false positive (type I error), and various statistical strategies have been developed to compensate for this inflated risk.459”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [459] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSuch analyses were reported in 71% (106/150) of cancer trial protocols with time-to-event outcomes in Italy from 2000 to 2005; among 86 protocols with plans for efficacy interim analyses, 100% reported the timing of the analyses, 90% specified the overall reason for stopping, and 94% detailed the statistical approach.
“Such analyses were also reported in 71% (106/150) of cancer trial protocols with time-to-event outcomes in Italy from 2000 to 2005461; among 86 protocols with plans for efficacy interim analyses, 100% reported the timing of the analyses, 90% specified the overall reason for stopping (eg, superiority, futility), and 94% detailed the statistical approach.461”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [461] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationIt is widely recommended that trials adopt a risk based approach to monitoring that focuses on the trial data and processes that are critical to study integrity, data validity, and the wellbeing of participants.
“Rather than reviewing 100% of accumulating data and processes, it is widely recommended that trials adopt a risk based approach to monitoring that focuses on the trial data and processes that are critical to study integrity, data validity, and the wellbeing of participants.46 467”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [46] International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). Integrated addendum to ICH E6(R1): guideline for good clinical practice E6(R2). Step 4 version dated 9 November 2016. https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf.
Not checked in the free run.
- cites [467] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNew, decentralised monitoring options are becoming more widely available.
“New, decentralised monitoring options are also becoming more widely available.468”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [468] source
Not checked in the free run.
May combine two claims.
PremisecitationThe implementation and communication of amendments is burdensome and potentially costly.
“The implementation and communication of amendments is also burdensome and potentially costly.474”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [474] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBefore participants are enrolled, a universal requirement for the ethical conduct of clinical trials is the review and approval of the protocol by qualified individuals who are not associated with the research team and have no disqualifying conflicts of interest as reviewers.
“Before participants are enrolled, a universal requirement for the ethical conduct of clinical trials is the review and approval of the protocol by qualified individuals who are not associated with the research team and have no disqualifying conflicts of interest as reviewers.46 471”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [46] International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). Integrated addendum to ICH E6(R1): guideline for good clinical practice E6(R2). Step 4 version dated 9 November 2016. https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf.
Not checked in the free run.
- cites [471] World Medical Association. WMA Declaration of Helsinki - ethical principles for medical research involving human subjects. 2022. https://www.wma.net/policies-post/wma-declaration-of-helsinki/
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReviews of two samples of 108 and 292 trial protocols from 2016 found that 15% to 18% of trial protocols approved in 2016 did not describe the process of obtaining informed consent.
“Reviews of two samples of 108 and 292 trial protocols from 2016 found that 15% to 18% of trials protocols approved in 2016 did not describe the process of obtaining informed consent.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIt is generally agreed that trial sponsors and investigators have an ethical obligation to plan to provide care for participants' healthcare needs that arise as a direct consequence of participation in a trial.
“It is generally agreed that trial sponsors and investigators have an ethical obligation to plan to provide care for participants’ healthcare needs that arise as a direct consequence of participation in a trial.2 501 502”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThe content, quantity, and mode of delivery of consent information can affect trial recruitment; participant comprehension, anxiety, and retention rates; and costs.
“The content, quantity, and mode of delivery of consent information can affect trial recruitment; participant comprehension, anxiety, and retention rates; and costs.207 486 487 488 489”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [207] source
Not checked in the free run.
- cites [486] source
Not checked in the free run.
- cites [487] Fayter D, McDaid C, Ritchie G, Stirk L, Eastwood A. Systematic review of barriers, modifiers and benefits involved in participation in cancer trials. Centre for Reviews and Dissemination report 31. University of York; 2006. Report No 31.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationReviews of two samples of 108 and 292 trial protocols approved in 2016 found that 76% and 88%, respectively, considered confidentiality of data.
“Reviews of two samples of 108 and 292 trial protocols approved in 2016 found that 76% and 88%, respectively, considered confidentiality of data.9 10”
Quote in the paperNot a substantial claim0 of 2 sources checked
The paper relies on this without support.
Funding agencies, research ethics committees or institutional review boards, regulatory agencies, medical journals, systematic reviewers, and others rely on protocols to appraise the conduct and reporting of clinical trials.
“Funding agencies, research ethics committees or institutional review boards, regulatory agencies, medical journals, systematic reviewers, and others rely on protocols to appraise the conduct and reporting of clinical trials.”
The paper relies on this without support.
The usefulness of trial results to patients, healthcare providers, and policy makers depends on how well the trial was planned.
“The usefulness of trial results to patients, healthcare providers, and policy makers depends on how well the trial was planned.”
The paper relies on this without support.
Adequate reporting of a trial protocol conveys that the core methodological and logistical challenges of running the trial have been considered, and possibly dealt with, before the trial commences.
“Adequate reporting of a trial protocol conveys that the core methodological and logistical challenges of running the trial have been considered, and possibly dealt with, before the trial commences.”
The paper relies on this without support.
Trials are typically funded by drug or device companies or by scientific, private, or governmental foundations or organisations.
“Trials are typically funded by drug or device companies (ie, industry funded) or by scientific, private, or governmental foundations or organisations (ie, non-industry funded).”
The paper relies on this without support.
The various types of funders differ in their overall agenda, reasons for funding a trial, and propensity to influence the trial.
“The various types of funders differ in their overall agenda, reasons for funding a trial, and propensity to influence the trial.”
The paper relies on this without support.
A funder will typically provide direct monetary support for a trial, but funding may also be provided indirectly, such as through free trial drugs, equipment, or services.
“A funder will typically provide direct monitory support for a trial, but funding may also be provided indirectly, such as through free trial drugs, equipment, or services (eg, statistical analysis or use of medical writers) (item 7a).”
The paper relies on this without support.
The more direct the influence a trial funder with a strong interest in a specific study result has on the design, conduct, analysis, and reporting of a trial, the higher is the risk that their interests interfere with the scientific purpose of the trial.
“The more direct the influence a trial funder (or sponsor) with a strong interest in a specific study result has on the design, conduct, analysis, and reporting of a trial, the higher is the risk that their interests interfere with the scientific purpose of the trial.”
The paper relies on this without support.
Undue influence can result in methodological problems and bias.
“Undue influence can result in methodological problems (eg, inappropriate comparator group or narrow patient eligibility criteria) and bias.”
The paper relies on this without support.
Information on the types, conduct, and membership of committees helps ensure roles and responsibilities are clearly understood at the onset of the trial and facilitates communication from external parties about the trial.
“Information on the types, conduct, and membership of such committees helps to ensure that roles and responsibilities are clearly understood at the onset of the trial and facilitates communication from external parties about the trial.”
The paper relies on this without support.
Information on committees enables readers to understand the mandate and expertise of those responsible for overseeing participant safety, trial design, database integrity, and study conduct.
“Information also enables readers to understand the mandate and expertise of those responsible for overseeing participant safety, trial design, database integrity, and study conduct.”
The paper relies on this without support.
The complexity of a trial, and the need for a clear division of responsibilities and a transparent organisational structure, increase with the number of included sites and participants.
“The complexity of a trial, and the need for a clear division of responsibilities and a transparent organisational structure, increase with the number of included sites and participants.”
The paper relies on this without support.
Most trial registries allow the full protocol and statistical analysis plan to be included along with the trial’s registration record.
“Most trial registries allow the full protocol and statistical analysis plan to be included along with the trial’s registration record.”
The paper relies on this without support.
Data sharing increases transparency, facilitates reproducibility, reduces research waste, and provides data for additional exploration.
“Data sharing increases transparency, facilitates reproducibility, reduces research waste, and provides data for additional exploration.”
The paper relies on this without support.
Access to trial data is sometimes restricted for trial investigators, and not only for individuals outside the trial.
“Access to the trial data is also sometimes restricted for trial investigators, and not only for individuals outside the trial.”
The paper relies on this without support.
Results from randomised trials might be more reproducible and trustworthy when the complete final dataset can be accessed by multiple investigators who contributed the data.
“Results from randomised trials might be more reproducible and trustworthy when the complete final dataset can be accessed by multiple investigators who contributed the data.”
The paper relies on this without support.
For some multicentre trials, only the trial steering committee has access to the full trial dataset.
“For some multicentre trials, only the trial steering committee has access to the full trial dataset.”
The paper relies on this without support.
Many of these trials will allow site investigators to access the full dataset if the steering committee approves a formal request describing their plans.
“Many of these trials will allow site investigators to access the full dataset if the steering committee approves a formal request describing their plans.”
The paper relies on this without support.
Various types of funders differ in their overall agenda, reasons for funding a trial, and propensity to influence the trial.
“The various types of funders differ in their overall agenda, reasons for funding a trial, and propensity to influence the trial.”
The paper relies on this without support.
There is no clear consensus on a threshold for when funding from a source with conflicting interests becomes problematic, nor on the characteristics of a possible dose-response association.
“There is no clear consensus on a threshold for when funding from a source with conflicting interests becomes problematic, nor on the characteristics of a possible dose-response association.”
The paper relies on this without support.
Indirect financial support, such as provision of various medical services, will impact differently on various stages of a trial.
“Indirect financial support, such as provision of various medical services, will impact differently on various stages of a trial.”
The paper relies on this without support.
Reporting the funding source and the role of the trial funder provides important context for readers of a protocol when ascertaining the feasibility of the trial as well as its overall methodological quality and risk of bias.
“Reporting the funding source and the role of the trial funder (item 3c) provides important context for readers of a protocol when ascertaining the feasibility of the trial as well as its overall methodological quality (for example, the relevance of the type of comparator intervention and eligibility criteria for patients) and risk of bias (for example, the risk of selective reporting of favourable”
The paper relies on this without support.
Disclosure of interests enables a management plan to be developed and implemented and facilitates full ascertainment of conflicts of interest, risk of bias, and overall methodological quality.
“Disclosure of interests enables a management plan to be developed and implemented and facilitates full ascertainment of conflicts of interest, risk of bias, and overall methodological quality—for example, the relevance of the type of comparator intervention.”
The paper relies on this without support.
Journal publication remains a key means of reporting trial results.
“Journal publication remains a key means of reporting trial results.”
The paper relies on this without support.
Open access publishing provides patients, the public, and other interested parties with immediate and free access to read the trial’s results, with reduced copyright barriers.
“Open access publishing provides patients, the public, and other interested parties with immediate and free access to read the trial’s results, with reduced copyright barriers.”
The paper relies on this without support.
Trials would not be possible without the voluntary contributions of participants.
“Trials would not be possible without the voluntary contributions of participants.”
The paper relies on this without support.
The ethical and scientific justification for a trial depends on the uncertainty of the benefit or harm of the intervention to be tested, which depends on what is known on the topic before the trial commences.
“The ethical and scientific justification for a trial depends on the uncertainty of the benefit or harm of the intervention to be tested. This uncertainty depends in turn on what is known on the topic before the trial commences.”
The paper relies on this without support.
Background information is relevant to funders, research ethics committees or institutional review boards, and other groups who evaluate the scientific and ethical basis for trial approval.
“It is also relevant to funders, research ethics committees or institutional review boards, and other groups who evaluate the scientific and ethical basis for trial approval.”
The paper relies on this without support.
What constitutes usual care differs substantially across clinical settings.
“What constitutes usual care differs substantially across clinical settings.”
The paper relies on this without support.
The environment in which a trial will be conducted may differ considerably from the setting in which the trial’s results are later used to guide practice and policy.
“The environment in which the trial will be conducted may differ considerably from the setting in which the trial’s results are later used to guide practice and policy.”
The paper relies on this without support.
The appropriateness of restrictive participant selection depends on the objectives of the trial.
“The appropriateness of restrictive participant selection depends on the objectives of the trial.218”
The paper relies on this without support.
Composite outcomes increase event rates and statistical power.
“Although composite outcomes increase event rates and statistical power, their relevance and interpretation can be unclear if the individual component outcomes vary greatly for event rates, direction of effect, importance to patients, or amount of missing data.”
The paper relies on this without support.
The relevance and interpretation of composite outcomes can be unclear if the individual component outcomes vary greatly for event rates, direction of effect, importance to patients, or amount of missing data.
“Although composite outcomes increase event rates and statistical power, their relevance and interpretation can be unclear if the individual component outcomes vary greatly for event rates, direction of effect, importance to patients, or amount of missing data.”
The paper relies on this without support.
In explanatory randomised trials, the intervention is usually highly standardised, with close monitoring of fidelity and adherence and use of strategies to increase them.
“In explanatory randomised trials, where the aim is to determine the treatment effect under ideal circumstances, the intervention is usually highly standardised, with close monitoring of fidelity and adherence and use of strategies to increase them.”
The paper relies on this without support.
Low fidelity and adherence can have a substantial effect on statistical power and interpretation of results.
“Although no consensus exists on the acceptable minimum fidelity and adherence level in explanatory randomised trials, low fidelity and adherence can have a substantial effect on statistical power and interpretation of results.”
The paper relies on this without support.
In pragmatic randomised trials, interventions are usually highly flexible, with less focus on measuring fidelity and adherence and less use of strategies to maintain or improve them.
“In pragmatic randomised trials, which aim to determine the treatment effect in typical clinical settings, interventions are usually highly flexible, with less focus on measuring fidelity and adherence and less use of strategies to maintain or improve them.”
The paper relies on this without support.
In a randomised trial, a key goal is to have comparable study groups that differ only by the intervention being evaluated.
“In a randomised trial, a key goal is to have comparable study groups that differ only by the intervention being evaluated.”
The paper relies on this without support.
Assessing fidelity and adherence to the intervention or comparator, or at least recording the most important components, is necessary to understand what was administered to participants.
“Nevertheless, assessing fidelity and adherence to the intervention or comparator, or at least recording the most important components, is necessary to understand what was administered to participants.”
The paper relies on this without support.
Assessing fidelity and adherence is particularly important for complex interventions when diversity in the implementation of the intervention or comparator is expected.
“This is particularly important for complex interventions when diversity in the implementation of the intervention or comparator is expected.”
The paper relies on this without support.
Recording key elements of the intervention is essential to provide a relevant description of the intervention that was provided when the trial was completed.
“This information is essential to provide a relevant description of the intervention that was provided when the trial was completed.”
The paper relies on this without support.
Trials may differ in what is meant by the intervention being evaluated.
“Trials may differ in what is meant by the intervention being evaluated.”
The paper relies on this without support.
In some trials with a marked explanatory approach, the intervention might be defined narrowly as the experimental intervention tested.
“In some trials (with a marked explanatory approach), the intervention might be defined narrowly as the experimental intervention tested.”
The paper relies on this without support.
In other trials with a more pragmatic approach, the intervention might be defined as the experimental intervention plus allowed concomitant interventions and procedures, such as rescue interventions.
“In other trials (with a more pragmatic approach), the intervention might be defined as the experimental intervention plus allowed concomitant interventions and procedures, such as rescue interventions.”
The paper relies on this without support.
In some multicentre trials an intervention could be added to usual care that might differ considerably in content between centres.
“Also, in some multicentre trials an intervention could be added to usual care that might differ considerably in content between centres (item 15a).”
The paper relies on this without support.
To increase statistical power, harms outcomes are sometimes grouped in a composite outcome.
“To increase statistical power, harms outcomes are sometimes grouped in a composite outcome (eg, cardiovascular events).”
The paper relies on this without support.
Assessing the risk of bias domain for deviations from the intended intervention requires a clear understanding of deviations that occur as planned in the protocol and deviations that arise owing to the experimental context.
“Assessing this domain requires a clear understanding of deviations that occur as planned in the protocol and deviations that arise owing to the experimental context.”
The paper relies on this without support.
Key considerations determining the need to report an adverse event to external groups include severity, potential causality, and whether the adverse event represents an unexpected event.
“Key considerations determining the need to report an adverse event to external groups include severity, potential causality, and whether the adverse event represents an unexpected event.”
The paper relies on this without support.
The sample size calculation is generally based on one primary outcome.
“The sample size calculation is generally based on one primary outcome.”
The paper relies on this without support.
The results for primary and secondary outcomes can be substantially affected by the choice of methods used for analysis.
“The results for the primary and secondary outcomes can be substantially affected by the choice of methods used for analysis, which should align with the trial objectives, and, if used, the estimands framework (item 10).”
The paper relies on this without support.
When more than one analysis method is applied to an outcome, there is potential for inappropriately selecting the approach that leads to the most “interesting” finding.
“When more than one analysis method is applied to an outcome, there is potential for inappropriately selecting the approach that leads to the most “interesting” finding.”
The paper relies on this without support.
Attrition bias can be avoided when outcome data are obtained from all participants and included in the analysis, regardless of adherence to the protocol.
“Attrition bias can be avoided when outcome data are obtained from all participants and included in the analysis, regardless of adherence to the protocol.”
The paper relies on this without support.
Imputation of missing outcomes does not guarantee avoidance of bias except under strong assumptions about the missing data.
“Although imputation of missing outcomes would allow an intention-to-treat analysis, it does not guarantee avoidance of bias except under strong assumptions about the missing data.”
The paper relies on this without support.
Methods for handling missing data (including analysis of complete cases only) typically rely on unverifiable assumptions.
“Methods for handling missing data (including analysis of complete cases only) typically rely on unverifiable assumptions.”
The paper relies on this without support.
If randomised participants with missing data are omitted (a complete case analysis), then the analysis deviates from the intention-to-treat principle and can introduce bias depending on the amount of missing data and the mechanism resulting in the missing data.
“If randomised participants with missing data are omitted (a complete case analysis), then the analysis deviates from the intention-to-treat principle and can introduce bias (item 27b) depending on the amount of missing data and the mechanism resulting in the missing data.”
The paper relies on this without support.
A complete case analysis diminishes statistical power by reducing the sample size.
“A complete case analysis also diminishes statistical power by reducing the sample size.”
The paper relies on this without support.
Categorisation of continuous variables to define subgroups leads to loss of information and a reduction of statistical power.
“Categorisation also leads to the loss of information and a reduction of statistical power.”
The paper relies on this without support.
Cut-off points to define subgroups are often arbitrarily chosen without clinical or biological rationale.
“Cut-off points to define subgroups are often arbitrarily chosen without clinical or biological rationale.”
The paper relies on this without support.
Personal information about trial participants is acquired during the process of recruitment, eligibility screening, and data collection.
“Personal information about trial participants is acquired during the process of recruitment, eligibility screening, and data collection.”
The paper relies on this without support.
Much of the personal information collected consists of private details of which many people wish to maintain control, such as health status, personal genotype, and social and family history.
“Much of this information consists of private details of which many people wish to maintain control, such as their health status, personal genotype, and social and family history.”
The paper relies on this without support.
Provision of care for ancillary needs reflects the fact that participants implicitly, but unavoidably, entrust certain aspects of their health to the research team.
“Provision of care for ancillary needs reflects the fact that participants implicitly, but unavoidably, entrust certain aspects of their health to the research team.”
The paper relies on this without support.
The scope of entrustment varies depending on the nature of the trial (eg, setting, health condition under study, investigations performed).
“The scope of entrustment will vary depending on the nature of the trial (eg, setting, health condition under study, investigations performed).”
The paper relies on this without support.
Additional factors that influence the strength of the responsibility to provide ancillary care include participants’ vulnerabilities, uncompensated burdens and harms, the intensity and duration of the participant-researcher relationship, and the degree to which participants are uniquely dependent on the research team for healthcare.
“Additional factors that influence the strength of the responsibility to provide ancillary care include participants’ vulnerabilities, uncompensated burdens and harms, the intensity and duration of the participant-researcher relationship, and the degree to which participants are uniquely dependent on the research team for healthcare.”
The paper relies on this without support.
Public access to trial protocols enables readers to compare what was planned in a protocol with what was reported in a publication.
“Public access to trial protocols (in addition to trial publications) enables readers (eg, patients, peer reviewers, editors, healthcare providers, funders, researchers conducting systematic reviews, and guideline developers) to compare what was planned in a protocol with what was reported in a publication.”
The paper relies on this without support.
The review of a clinical trial protocol is typically conducted by a formal research ethics board or committee in accordance with jurisdictional policy.
“The review is typically conducted by a formal research ethics board or committee (also called an institutional review board) in accordance with jurisdictional policy.”
The paper relies on this without support.
The acquisition and storage of data and biological specimens for ancillary studies are increasingly common in the context of clinical trials.
“The acquisition and storage of data and biological specimens for ancillary studies are increasingly common in the context of clinical trials.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
It is feasible to address all SPIRIT 2025 checklist items in a single protocol document, as illustrated by the examples we identified from existing protocols for every item.
“It is feasible to address all SPIRIT 2025 checklist items in a single protocol document, as illustrated by the examples we identified from existing protocols for every item.28”
From SPIRIT 2025 statement: updated guideline for protocols of randomised trials (2025) · cites this paper as [28]
The accompanying SPIRIT 2025 explanation and elaboration document provides background and context for each checklist item along with examples of good reporting.
“An accompanying SPIRIT 2025 explanation and elaboration document provides background and context for each checklist item along with examples of good reporting.28”
From SPIRIT 2025 statement: updated guideline for protocols of randomised trials (2025) · cites this paper as [28]
The expanded checklist comprises an abridged version of elements presented in the SPIRIT 2025 explanation and elaboration document, with examples and references removed.
“The expanded checklist comprises an abridged version of elements presented in the SPIRIT 2025 explanation and elaboration document,28 with examples and references removed.”
From SPIRIT 2025 statement: updated guideline for protocols of randomised trials (2025) · cites this paper as [28]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Diluted event rate does not follow from the stated subgroup effect
MajorIf one third of participants have cardiac dysfunction and their event rate falls from 15% to 7.5%, while the other two thirds remain at 15%, the overall rate is 12.5%, not 9%. The stated 9% rate is used for the sample-size calculation.
Reported 9 · recomputed 12.5
“The trial is designed to detect a reduction in hospitalisation or mortality rate of 7.5% at 1 year in patients identified with cardiac dysfunction from 15% anticipated in patients randomised to the standard pathway [reference]. Given approximately one third of patients in both randomised arms are estimated to have cardiac dysfunction, a 7.5% reduction would be diluted to a 9% overall reduction in the enhanced pathway arm.”
Four milestones are described as five
MinorThe example says there are five predetermined review milestones but lists only four enrolment counts.
“five predetermined milestones”
“(200, 500, 1000, and 1500 enrolled patients)”
Cites
RoB 2: a revised tool for assessing risk of bias in randomised trials
Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., et al. (2019) · BMJ · doi:10.1136/bmj.l4898 · Cited by 33,583 · see citing works
Self-citationHoffmann, T. C., Glasziou, P. P., Boutron, I., Milne, R., Perera, R., Moher, D., Altman, D. G., Barbour, V., Macdonald, H., Johnston, M., et al. (2014) · BMJ · doi:10.1136/bmj.g1687 · Cited by 10,548 · see citing works
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Self-citation
- Authors
- Hróbjartsson, A., Boutron, I., Hopewell, S., Moher, D., Schulz, K. F., Collins, G. S., Tunn, R., Aggarwal, R., Berkwits, M., Berlin, J. A., Bhandari, N., Butcher, N. J., Campbell, M. K., Chidebe, R. C. W., Elbourne, D. R., Farmer, A. J., Fergusson, D. A., Golub, R. M., Goodman, S. N., Hoffmann, T. C., Ioannidis, J. P. A., Kahan, B. C., Knowles, R. L., Lamb, S. E., Lewis, S., Loder, E., Offringa, M., Ravaud, P., Richards, D. P., Rockhold, F. W., Schriger, D. L., Siegfried, N. L., Staniszewska, S., Taylor, R. S., Thabane, L., Torgerson, D. J., Vohra, S., White, I. R., & Chan, A.-W.
- Affiliations
- University of Southern Denmark (DK)
- Inserm (FR)
- University of Oxford (GB)
- Ottawa Hospital Research Institute (CA)
- University of North Carolina at Chapel Hill (US)
- Jawaharlal Institute of Post Graduate Medical Education and Research (IN)
- Rutgers, The State University of New Jersey (US)
- Society for Applied Studies (IN)
- University of Toronto (CA)
- University of Aberdeen (GB)
- Miami University (US)
- London School of Hygiene & Tropical Medicine (GB)
- Northwestern University (US)
- Stanford University (US)
- Bond University (AU)
- MRC Clinical Trials Unit at UCL (GB)
- University College London (GB)
- University of Exeter (GB)
- University of Edinburgh (GB)
- Brigham and Women's Hospital (US)
- Hospital for Sick Children (CA)
- MaRS (CA)
- Duke University (US)
- University of California, Los Angeles (US)
- South African Medical Research Council (ZA)
- University of Warwick (GB)
- MRC/CSO Social and Public Health Sciences Unit (GB)
- St. Joseph’s Healthcare Hamilton (CA)
- University of York (GB)
- University of Alberta (CA)
- Corresponding author
- Hróbjartsson, Asbjørn
- ORCID
- Hróbjartsson, Asbjørn
- Boutron, Isabelle
- Hopewell, Sally
- Moher, David
- Schulz, Kenneth F
- Collins, Gary S
- Tunn, Ruth
- Aggarwal, Rakesh
- Berkwits, Michael
- Berlin, Jesse A
- Bhandari, Nita
- Butcher, Nancy J
- Campbell, Marion K
- Chidebe, Runcie C W
- Elbourne, Diana R
- Farmer, Andrew J
- Fergusson, Dean A
- Goodman, Steven N
- Hoffmann, Tammy C
- Ioannidis, John P A
- Kahan, Brennan C
- Knowles, Rachel L
- Lamb, Sarah E
- Lewis, Steff
- Loder, Elizabeth
- Offringa, Martin
- Ravaud, Philippe
- Richards, Dawn P
- Rockhold, Frank W
- Schriger, David L
- Siegfried, Nandi L
- Staniszewska, Sophie
- Taylor, Rod S
- Thabane, Lehana
- Torgerson, David J
- Vohra, Sunita
- White, Ian R
- Chan, An-Wen
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2025-04-28
- Volume
- 389
- Pages
- e081660
- ISSN
- 1756-1833 (ISSN-L)
- PMC
- PMC12128891
- OpenAlex
- W4409954495
- Semantic Scholar
- b8007d80648965edd52f9adabbed370abea54993
- Cited by
- 171
- References
- 469
- Citations by year
- 2026: 140 · 2025: 31
- FWCI
- 109.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BMJ (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (publishedVersion, cc-by)
- Pure Amsterdam UMC (acceptedVersion, cc-by)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion, cc-by)
- Bond University Research Portal (Bond University) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by)
- Funders
- Pfizer (GA6120A8)
- National Institute for Health and Care Research
- Department of Health and Social Care
- University of Queensland
- Medical Research Council (MC_UU_00004/09)
- National Health and Medical Research Council (1140756, 1037220)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- trial protocol reporting, reporting guidelines, randomised trials, trial planning, reporting quality
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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