Publication and related biases.
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NHS R&D HTA ProgrammeT he overall aim of the NHS R&D Health Technology Assessment (HTA) programme is to ensure that high-quality research information on the costs, effectiveness and broader impact of health technologies is produced in the most efficient way for those who use, manage and work in the NHS.Research is undertaken in those areas where the evidence will lead to the greatest benefits to patients, either through improved patient outcomes or the most efficient use of NHS resources.The Standing Group on Health Technology advises on national priorities for health technology assessment.Six advisory panels assist the Standing Group in identifying and prioritising projects.These priorities are then considered by the HTA Commissioning Board supported by the National Coordinating Centre for HTA (NCCHTA).This report is one of a series covering acute care, diagnostics and imaging, methodology, pharmaceuticals, population screening, and primary and community care.It was identified as a priority by the Methodology Group and funded as project number 95/12/01.The views expressed in this publication are those of the authors and not necessarily those of the Standing Group, the Commissioning Board, the Panel members or the Department of Health.The editors wish to emphasise that funding and publication of this research by the NHS should not be taken as implicit support for the recommendations for policy contained herein.In particular, policy options in the area of screening will be considered by the National Screening Committee.This Committee, chaired by the Chief Medical Officer, will take into account the views expressed here, further available evidence and other relevant considerations.Reviews in Health Technology Assessment are termed 'systematic' when the account of the search, appraisal and synthesis methods (to minimise biases and random errors) would, in theory, permit the replication of the review by others.
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Findings from clinical trials are more likely to be published if results are statistically significant (p<0.05) than if they are not.
“Several empirical investigations have shown that the findings from clinical trials are more likely to be published if the results are statistically significant (p<0.05) than if they are not [125],[206],[207].”
From The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009) · cites this paper as [125]
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Self-citationAndersen, P., Toner, P., Bland, M., & McMillan, D. (2016) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s1352465816000229 · Cited by 128 · see citing works
Adjustment for reporting bias in network meta-analysis of antidepressant trials
Trinquart, L., Chatellier, G., & Ravaud, P. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-150 · Cited by 122 · see citing works
The Life of <i>p</i> : “Just Significant” Results are on the Rise
Leggett, N. C., Thomas, N. A., Loetscher, T., & Nicholls, M. E. R. (2013) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2013.863371 · Cited by 64 · see citing works
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Dutta, D., Nagendra, L., Anne, B., Kumar, M., Sharma, M., & Kamrul‐Hasan, A. B. M. (2024) · Obesity Science & Practice · doi:10.1002/osp4.743 · Cited by 35 · see citing works
Generalized synthesis of evidence and the threat of dissemination bias
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Comparison of protocols and registry entries to published reports for systematic reviews
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- Authors
- Song, Eastwood, Gilbody, Duley, & Sutton
- Affiliations
- University of York (GB)
- University of Oxford (GB)
- Venue
- Health Technology Assessment
- Published
- 2000
- Volume
- 4
- Issue
- 10
- ISSN
- 1366-5278 (ISSN-L)
- 2046-4924
- OpenAlex
- W2582931416
- Cited by
- 427
- References
- 222
- Citations by year
- 2026: 14 · 2025: 14 · 2024: 32 · 2023: 13 · 2022: 18 · 2021: 27 · 2020: 14 · 2019: 17 · 2018: 12 · 2017: 21 · 2016: 28 · 2015: 10 · 2014: 8 · 2013: 19 · 2012: 17
- FWCI
- 15.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Technology Assessment (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Health Technology Assessment Programme (94/33/18)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- publication bias, reporting bias, systematic reviews, research priorities, screening, primary and community care
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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