Literature DB >> 35482320

Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: A cross-sectional analysis.

Krista Y Chen1, Erin M Borglund1, Emma Charlotte Postema2, Adam G Dunn1,2, Florence T Bourgeois1,3.   

Abstract

BACKGROUND: Adverse events identified during clinical trials can be important early indicators of drug safety, but complete and timely data on safety results have historically been difficult to access. The aim was to compare the availability, completeness, and concordance of safety results reported in ClinicalTrials.gov and peer-reviewed publications.
METHODS: We analyzed clinical trials used in the Food and Drug Administration safety assessment of new drugs approved between 1 July 2018 and 30 June 2019. The key safety outcomes examined were all-cause mortality, serious adverse events, adverse events, and withdrawals due to adverse events. Availability of safety results was measured by the presence and timing of a record of trial-level results in ClinicalTrials.gov and a corresponding peer-reviewed publication. For the subset of trials with available results, completeness was defined as the reporting of safety results for all participants and compared between ClinicalTrials.gov and publications. To assess concordance, we compared the numeric results for safety outcomes reported in ClinicalTrials.gov and publications to results in Food and Drug Administration trial reports.
RESULTS: Among 156 trials studying 52 drugs, 91 (58.3%) trials reported safety results in ClinicalTrials.gov and 106 (67.9%) in peer-reviewed publications (risk difference = -9.6%, 95% confidence interval = -20.3 to 1.0). All-cause mortality was reported sooner in published articles compared with ClinicalTrials.gov (log-rank test, p = 0.01). There was no difference in time to reporting for serious adverse events (p = 0.05), adverse events (p = 0.09), or withdrawals due to adverse events (p = 0.20). Complete reporting of all-cause mortality was similar in ClinicalTrials.gov and publications (74.7% vs 78.3%, respectively; risk difference = -3.6%, 95% confidence interval = -15.5 to 8.3) and higher in ClinicalTrials.gov for serious adverse events (100% vs 79.2%; risk difference = 20.8%, 95% confidence interval = 13.0 to 28.5) and adverse events (100% vs 86.8%; risk difference = 13.2%, 95% confidence interval = 6.8 to 19.7). Withdrawals due to adverse events were less often completely reported in ClinicalTrials.gov (62.6% vs 92.5%; risk difference = -29.8%, 95% confidence interval = -40.1 to -18.7). No difference was found in concordance of results between ClinicalTrials.gov and publications for all-cause mortality, serious adverse events, or withdrawals due to adverse events.
CONCLUSION: Safety results were available in ClinicalTrials.gov at a similar rate as in peer-reviewed publications, with more complete reporting of certain safety outcomes in ClinicalTrials.gov. Future efforts should consider adverse event reporting in ClinicalTrials.gov as an accessible data source for post-marketing surveillance and other evidence synthesis tasks.

Entities:  

Keywords:  Clinical trials; adverse event reporting; drug safety; evidence synthesis; post-marketing surveillance; trial registries

Mesh:

Substances:

Year:  2022        PMID: 35482320      PMCID: PMC9378423          DOI: 10.1177/17407745221093567

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.599


  36 in total

1.  Better reporting of harms in randomized trials: an extension of the CONSORT statement.

Authors:  John P A Ioannidis; Stephen J W Evans; Peter C Gøtzsche; Robert T O'Neill; Douglas G Altman; Kenneth Schulz; David Moher
Journal:  Ann Intern Med       Date:  2004-11-16       Impact factor: 25.391

2.  Reporting of safety results in published reports of randomized controlled trials.

Authors:  Isabelle Pitrou; Isabelle Boutron; Nizar Ahmad; Philippe Ravaud
Journal:  Arch Intern Med       Date:  2009-10-26

3.  Trial Reporting in ClinicalTrials.gov - The Final Rule.

Authors:  Deborah A Zarin; Tony Tse; Rebecca J Williams; Sarah Carr
Journal:  N Engl J Med       Date:  2016-09-16       Impact factor: 91.245

4.  Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system.

Authors:  R Harpaz; W DuMouchel; P LePendu; A Bauer-Mehren; P Ryan; N H Shah
Journal:  Clin Pharmacol Ther       Date:  2013-02-11       Impact factor: 6.875

5.  Non-publication and delayed publication of randomized trials on vaccines: survey.

Authors:  Lamberto Manzoli; Maria Elena Flacco; Maddalena D'Addario; Lorenzo Capasso; Corrado De Vito; Carolina Marzuillo; Paolo Villari; John P A Ioannidis
Journal:  BMJ       Date:  2014-05-16

6.  Consistency of trial reporting between ClinicalTrials.gov and corresponding publications: one decade after FDAAA.

Authors:  Ramtin Talebi; Rita F Redberg; Joseph S Ross
Journal:  Trials       Date:  2020-07-23       Impact factor: 2.279

Review 7.  Systematic review of the empirical evidence of study publication bias and outcome reporting bias.

Authors:  Kerry Dwan; Douglas G Altman; Juan A Arnaiz; Jill Bloom; An-Wen Chan; Eugenia Cronin; Evelyne Decullier; Philippa J Easterbrook; Erik Von Elm; Carrol Gamble; Davina Ghersi; John P A Ioannidis; John Simes; Paula R Williamson
Journal:  PLoS One       Date:  2008-08-28       Impact factor: 3.240

8.  Comparison of serious adverse events posted at ClinicalTrials.gov and published in corresponding journal articles.

Authors:  Eve Tang; Philippe Ravaud; Carolina Riveros; Elodie Perrodeau; Agnes Dechartres
Journal:  BMC Med       Date:  2015-08-14       Impact factor: 8.775

9.  Trends in utilization of FDA expedited drug development and approval programs, 1987-2014: cohort study.

Authors:  Aaron S Kesselheim; Bo Wang; Jessica M Franklin; Jonathan J Darrow
Journal:  BMJ       Date:  2015-09-23

10.  Understanding current practice, identifying barriers and exploring priorities for adverse event analysis in randomised controlled trials: an online, cross-sectional survey of statisticians from academia and industry.

Authors:  Rachel Phillips; Victoria Cornelius
Journal:  BMJ Open       Date:  2020-06-11       Impact factor: 2.692

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