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Post-randomisation exclusions: the intention to treat principle and excluding patients from analysis
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When is it legitimate to exclude randomised patients from the analysis of data in clinical trials? Basing their analysis on the desirability of minimising bias and random error, the authors consider the circumstances when it may be possible to exclude patients, even in an intention to treat trial
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“The effect of assignment to intervention should be estimated by an intention-to-treat analysis that includes all randomised participants. 17”
From RoB 2: a revised tool for assessing risk of bias in randomised trials (2019) · cites this paper as [17]
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“Despite this, this style of analysis is less likely to show a positive treatment effect [94].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [94]
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“, excluding from the analysis patients who were false inclusions [30] or who never received the treatment) could be appropriate if exclusions were determined under conditions of double blinding.”
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“7% in the control group) and losses between 5 and 20% may be a source of bias [27], for the purposes of this paper the intention-to-treat (ITT) analyses were conducted using multiple imputation (MI).”
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“(with sUA levels <480 μmol/L at day –2) from both study arms who received treatment after randomisation may be acceptable and will lead to an unbiased assessment of treatment effect in patients who do meet the inclusion criteria.(14,15)”
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BackgroundRaz, I., Ziegler, A. G., Linn, T., Schernthaner, G., Bonńici, F., Distiller, L. A., Giordano, C. S. D. S., Giorgino, F., de Vries, L., Mauricio, D., et al. (2014) · Diabetes Care · doi:10.2337/dc13-1391 · Cited by 57
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“Those who dropped out before the study started were excluded from the statistical analyses, while those dropping out during the intervention were included (Fergusson et al. 2002).”
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“Retention of participants in PTFU is important since high rates of attrition may introduce bias if reasons for withdrawal are related to the intervention [3].”
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“This procedure of post-randomization exclusions was in accord with the specification of slightly modified intention to treat principle and excluding patients from analysis.(16,17) Finally, the trial included 88 infants in NIPPV group and 91 infants in nCPAP group.”
MethodOosterhuis, T., Ostelo, R., van Dongen, J. M., Peul, W. C., de Boer, M. R., Bosmans, J. E., Vleggeert-Lankamp, C. L. A., Arts, M. P., & van Tulder, M. W. (2017) · Journal of physiotherapy · doi:10.1016/j.jphys.2017.05.016 · Cited by 60
“Besides, as Fergusson et al suggested, excluding these prematurely randomised participants does not bias the analysis if treatment allocation is not associated with the likelihood of undergoing surgery.(39)[68_TD$DIFF] Participants in both arms declined surgery (control n = 3, experimental = 7) due to recovery.”
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“An intention-to-treat analysis (ITT) [ 20 ] was performed.”
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“Reporting of PVs is essential when establishing the appropriateness of excluding patients from a modified intention to treat analysis or an efficacy subset (per-protocol) analysis [13,14].”
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“The primary analysis will be performed according to the intention-to-treat principle [45].”
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Self-citationPreparing reports for publication and responding to reviewers' comments
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“Following existing recommendations [30], the principal investigator will decide on exclusion while unaware of any consequences of enrollment, including the patient's allocation or outcomes.”
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“Though every effort will be made to minimize post-randomization exclusions, patients will be excluded if they are found to meet exclusion criteria that were not recognized at the time of enrollment or they choose to withdraw [33].”
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“The analyses were done in the modified intention-to-treat population defined as all randomised patients (n = 804) except those who could be excluded post-randomisation without risk of bias [23] (n = 4; two were randomised without consent and we decided during the trial to exclude two other patients who were erroneousl…”
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Loss to Analysis in Randomized Controlled Trials in CKD
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“Further, a per protocol analysis was performed (exclusion of participants not fulfilling the criteria for participation, never receiving the allocated trial medication or having major deviations to the protocol (not meeting to at least four visits).(21) The statistical model used for analysis of hypoglycaemic events w…”
Prevention of alcohol use in older teens: A randomized trial of an online family prevention program.
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“ITT minimizes type I error and gives an unbiased estimate of the treatment effect because of dilution caused by noncompliance [60,61].”
Backgroundde Kok, B., Toe, L. C., Hanley‐Cook, G., Argaw, A., Ouédraogo, M., Compaoré, A., Vanslambrouck, K., Dailey-Chwalibóg, T., Ganaba, R., Kolsteren, P. W., et al. (2022) · PLoS Medicine · doi:10.1371/journal.pmed.1004002 · Cited by 39
“Postrandomization, we excluded women without a confirmed pregnancy using the ultrasound examination, women with GA�21 completed weeks, and multifetal pregnancies [20].”
MethodWijeysundera, D. N., Karkouti, K., Rao, V., Granton, J. T., Chan, C. T., Raban, R., Carroll, J. A., Poonawala, H., & Beattie, W. S. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e31819ffed4 · Cited by 37
“Two were excluded because they met exclusion criteria before randomization (25): severe renal insufficiency (creatinine concentration of 513 mol/L in N-acetylcysteine arm) and N-acetylcysteine within 24 hours before surgery (placebo arm).”
Bigby, M. E., & Williams, H. C. (2010) · Wiley eBooks · doi:10.1002/9781444317633.ch7 · Cited by 38
Sugimoto, D., Mattacola, C. G., Bush, H., Thomas, S. M., Foss, K. D. B., Myer, G. D., & Hewett, T. E. (2016) · Journal of Athletic Training · doi:10.4085/1062-6050-51.12.20 · Cited by 36
Carey, M. P., Vanable, P. A., Senn, T. E., Coury-Doniger, P. A., & Urban, M. A. (2008) · Contemporary Clinical Trials · doi:10.1016/j.cct.2008.02.001 · Cited by 36
“Third, because non-attendance at the intensive intervention can make the detection of intervention effects even more challenging, both “intent-to-treat” [76] and “as treated” [77] analyses will be conducted.”
BackgroundCheng, P., Kalmbach, D. A., Hsieh, H.-F., Castelan, A. C., Sagong, C., & Drake, C. L. (2023) · Psychological Medicine · doi:10.1017/s0033291722000472 · Cited by 35
“A critical weakness of the traditional ITT approach is its high susceptibility to type II error when attrition rate is high (Fergusson et al., 2002; Hollis & Campbell, 1999).”
Durham, J. S., Brasher, P. M. A., Anderson, D. W., Yoo, J. J., Hart, R., Dort, J. C., Seikaly, H. R., Kerr, P., Rosin, M. P., & Poh, C. F.-Y. (2020) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2020.3147 · Cited by 35
Mentzelopoulos, S. D., Pappa, E., Malachias, S., Vrettou, C. S., Giannopoulos, A., Karlis, G., Adamos, G., Pantazopoulos, I. N., Megalou, A. J., Louvaris, Z., et al. (2022) · Resuscitation Plus · doi:10.1016/j.resplu.2022.100252 · Cited by 40
Martínez‐Ríos, M. A., Rosas, M., González, H., Peña‐Duque, M. A., Martínez‐Sánchez, C., Gaspar, J., García, H. H., Gaxiola, E., Delgado, L., Carrillo, J., et al. (2004) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2003.10.005 · Cited by 35
Rasuli, P., Chennur, V. S., Connolly, M. J., Hadziomerovic, A., Pomerleau, F. E., Ryan, S. E., French, G. J., O’Kelly, K., Aina, R., Champagne, P., et al. (2015) · Journal of Vascular and Interventional Radiology · doi:10.1016/j.jvir.2015.08.024 · Cited by 34
Percutaneous patent foramen ovale closure for secondary stroke prevention
Tsivgoulis, G. K., Katsanos, A. H., Mavridis, D., Frogoudaki, A., Vrettou, A., Ikonomidis, I., Parissis, J., Deftereos, S. G., Karapanayiotides, T., Palaiodimou, L., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005739 · Cited by 35
“Attrition bias was considered as high if the percentage of missing outcome data was more than 20% or unbalanced between arms, low if reported losses to follow-up were 5% or lower, and unclear if missing data ranged between 5% and 20%.(17) In the “other bias” category, we included all other potential sources of bias, i…”
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“The groups were analysed as intention to treat including patients that did not meet all inclusion and exclusion criteria [23].”
MethodPrevalence, causes, and outcome at 2 years of age of newborn encephalopathy
Marlow, N., & Budge, H. (2005) · Archives of Disease in Childhood Fetal & Neonatal · doi:10.1136/adc.2004.057059 · Cited by 34
“The whole episode of care, whether or not the infant ended up receiving ECMO or not, was then reported including an intention to treat analysis”
BackgroundFrietsch, T., Karger, R., Schöler, M., Huber, D., Bruckner, T., Kretschmer, V., Schmidt, S., Leidinger, W., & Weiler‐Lorentz, A. (2008) · Transfusion · doi:10.1111/j.1537-2995.2008.01804.x · Cited by 34
“Outcome “Intention-to-treat” analysis “Per-protocol” analysis LD AWB (n = 488) Non-LD AWB (n = 463) p Value LD AWB (n = 255) Non-LD AWB (n = 226) p Value LOS (days) 14 (7-36) 14 (8-55) 0.”
Using Anonymity and Communal Efforts to Improve Quality of Crowdsourced Feedback
Hui, J. S., Glenn, A., Jue, R., Gerber, E. M., & Dow, S. P. (2015) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v3i1.13229 · Cited by 33
“ITT analysis includes subjects according to treatment randomly assigned instead of treatment received, essentially ignoring factors after randomization (Fergusson et al. 2002).”
MethodHemilä, H., & Chalker, E. (2021) · Pharmacology Research & Perspectives · doi:10.1002/prp2.810 · Cited by 33
Don't be misled by the orthopedic literature : Tips for critical appraisal
Poolman, R. W., Kerkhoffs, G. M. M. J., Struijs, P. A. A., Bhandari, M., & Evid, O. B. O. T. I. (2007) · Acta Orthopaedica · doi:10.1080/17453670710013636 · Cited by 33
Vester‐Andersen, M., Waldau, T. E., Wetterslev, J., Møller, M. H., Rosenberg, J., Jørgensen, L. N., Jakobsen, J. C., Møller, A. M., InCare trial group, Gillesberg, I. E., et al. (2015) · British journal of surgery · doi:10.1002/bjs.9749 · Cited by 33
The Intention-to-Treat Analysis Is Not Always the Conservative Approach
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“, absence of moderate hypoxemia at end of SBT); such exclusions could have reduced the precision of treatment effect estimates and study power [33].”
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“Secondary endpoints re fl ected tumour response patterns distinctive for chemotherapy only (tumour shrinkage caused by the cytotoxic mode of action) or the combined-modality treatment (tumour responses translating into various radiologic measures).”
MethodA randomized clinical trial of oral hygiene care programmes during stroke rehabilitation
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“Days alive and without vasopressors/inotropes, median (IQR) 86 (2-87) 53 (2-88) .”
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“Critics of the intention to treat analysis on the other hand argue, that this approach is too cautious and more susceptible to type II error [ 33 ; 34; 35].”
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Metadata
- Authors
- Fergusson, D., Aaron, S. D., Guyatt, G., & Hébert, P.
- Affiliations
- McMaster University (CA)
- Corresponding author
- Fergusson, Dean
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2002-09-21
- Volume
- 325
- Issue
- 7365
- Pages
- 652-654
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC1124168
- OpenAlex
- W2000522086
- Cited by
- 708
- References
- 19
- Citations by year
- 2026: 22 · 2025: 26 · 2024: 30 · 2023: 24 · 2022: 46 · 2021: 59 · 2020: 36 · 2019: 37 · 2018: 35 · 2017: 40 · 2016: 34 · 2015: 40 · 2014: 34 · 2013: 27 · 2012: 21
- FWCI
- 17.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
- Locations
- BMJ (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- intention-to-treat analysis, randomized controlled trials, random error, statistical analysis of clinical trials
- MeSH terms
- Data Interpretation, Statistical, Humans, Randomized Controlled Trials as Topic, Patient Selection
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