Cited by 79Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsPharmaceutical industry and healthcare

Availability of large-scale evidence on specific harms from systematic reviews of randomized trials.

Papanikolaou, Panagiotis N., Ioannidis, John P.A.·2004·The American Journal of Medicine

Abstract

Purpose To assess how frequently systematic reviews of randomized controlled trials convey large-scale evidence on specific, well-defined adverse events.Methods We searched the Cochrane Database of Systematic Reviews for reviews containing quantitative data on specific, well-defined harms for at least 4000 randomized subjects, the minimum sample required for adequate power to detect an adverse event due to an intervention in 1% of subjects. Main outcome measures included the number of reviews with eligible large-scale data on adverse events, the number of ineligible reviews, and the magnitude of recorded harms (absolute risk, relative risk) based on large-scale evidence.Results Of 1727 reviews, 138 included evidence on > or =4000 subjects. Only 25 (18%) had eligible data on adverse events, while 77 had no harms data, and 36 had data on harms that were nonspecific or pertained to <4000 subjects. Of 66 specific adverse events for which there were adequate data in the 25 eligible reviews, 25 showed statistically significant differences between comparison arms; most pertained to serious or severe adverse events and absolute risk differences <4%. In 29% (9/31) of a sample of large trials in reviews with poor reporting of harms, specific harms were presented adequately in the trial reports but were not included in the systematic reviews.Conclusion Systematic reviews can convey useful large-scale information on adverse events. Acknowledging the importance and difficulties of studying harms, reporting of adverse effects must be improved in both randomized trials and systematic reviews.

Integrity signals

Registry

Crossref · 10.1016/j.amjmed.2004.04.026

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

The citation lists haven’t been fetched yet

References 17 · Cited by 79

Authors
Papanikolaou, P. N., & Ioannidis, J. P. A.
Affiliations
Tufts University (US)
Corresponding author
Ioannidis, John P.A.
Venue
The American Journal of Medicine
Publisher
Elsevier BV
Published
2004-10
Volume
117
Issue
8
Pages
582-589
ISSN
0002-9343 (ISSN-L)
OpenAlex
W1984667093
Cited by
79
References
17
Citations by year
2026: 3 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 6 · 2015: 2 · 2014: 5 · 2013: 2 · 2012: 4
FWCI
1.09
Type
journal article
Language
en
Open access
closed
Locations
  • The American Journal of Medicine (publishedVersion)
  • PubMed (publishedVersion)
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
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmaceutical industry and healthcare
Keywords
harms reporting, adverse events, randomized controlled trials, trial reporting quality, risk difference, serious adverse events
MeSH terms
Humans, Meta-Analysis as Topic, Randomized Controlled Trials as Topic, Sample Size

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 ›

Are you an author, or do you see a problem with this page? Request a review