Literature DB >> 22214754

Effect of reporting bias on meta-analyses of drug trials: reanalysis of meta-analyses.

Beth Hart1, Andreas Lundh, Lisa Bero.   

Abstract

OBJECTIVE: To investigate the effect of including unpublished trial outcome data obtained from the Food and Drug Administration (FDA) on the results of meta-analyses of drug trials.
DESIGN: Reanalysis of meta-analyses. DATA SOURCES: Drug trials with unpublished outcome data for new molecular entities that were approved by the FDA between 2001 and 2002 were identified. For each drug, eligible systematic reviews containing at least one meta-analysis were identified by searches of Medline, Embase, and the Cochrane Library in November 2010. Selection criteria Eligible systematic reviews were done after FDA approval of the drug, were published in English, and had outcomes and comparators that were the same as those of the trials with unpublished FDA trial outcomes, and the characteristics of participants in the systematic reviews were consistent with the FDA approved indication for the drug. Clinical guidelines, conference proceedings, duplicate systematic reviews, and systematic reviews in which included trials were not referenced or that combined trials across multiple drug classes were excluded. Systematic reviews using non-standard meta-analytic techniques (such as Bayesian or network meta-analyses) and those that used inappropriate or invalid methods for calculation of summary statistics (such as unweighted pooled analyses) were also excluded. DATA EXTRACTION: Two authors independently extracted data from both the published systematic reviews and the FDA's medical and statistical reviews of the trials submitted to FDA. MAIN OUTCOME MEASURE: Summary statistics (risk ratios, odds ratios, or weighted mean differences) for relevant outcomes with and without unpublished FDA trial data.
RESULTS: 42 meta-analyses (41 efficacy outcomes, one harm outcome) for nine drugs across six drug classes were reanalysed. Overall, addition of unpublished FDA trial data caused 46% (19/41) of the summary estimates from the meta-analyses to show lower efficacy of the drug, 7% (3/41) to show identical efficacy, and 46% (19/41) to show greater efficacy. The summary estimate of the single harm outcome showed more harm from the drug after inclusion of unpublished FDA trial data.
CONCLUSION: The effect of including unpublished FDA trial outcome data varies by drug and outcome. Unpublished FDA trial outcome data should be available and included in meta-analysis. Making these data easily accessible is particularly important because the effects of including unpublished data vary.

Entities:  

Mesh:

Year:  2012        PMID: 22214754     DOI: 10.1136/bmj.d7202

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  82 in total

Review 1.  The evolution in registration of clinical trials: a chronicle of the historical calls and current initiatives promoting transparency.

Authors:  Claudia Pansieri; Chiara Pandolfini; Maurizio Bonati
Journal:  Eur J Clin Pharmacol       Date:  2015-08-05       Impact factor: 2.953

2.  Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations.

Authors:  Lin Wang; Benjamin Rouse; Arielle Marks-Anglin; Rui Duan; Qiyuan Shi; Kevin Quach; Yong Chen; Christopher Cameron; Christopher H Schmid; Tianjing Li
Journal:  J Clin Epidemiol       Date:  2019-06-18       Impact factor: 6.437

Review 3.  On-the-Job Evidence-Based Medicine Training for Clinician-Scientists of the Next Generation.

Authors:  Elaine Yl Leung; Sadia M Malick; Khalid S Khan
Journal:  Clin Biochem Rev       Date:  2013-08

4.  Industry sponsorship and research outcome: systematic review with meta-analysis.

Authors:  Andreas Lundh; Joel Lexchin; Barbara Mintzes; Jeppe B Schroll; Lisa Bero
Journal:  Intensive Care Med       Date:  2018-08-21       Impact factor: 17.440

5.  SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials.

Authors:  An-Wen Chan; Jennifer M Tetzlaff; Peter C Gøtzsche; Douglas G Altman; Howard Mann; Jesse A Berlin; Kay Dickersin; Asbjørn Hróbjartsson; Kenneth F Schulz; Wendy R Parulekar; Karmela Krleza-Jeric; Andreas Laupacis; David Moher
Journal:  BMJ       Date:  2013-01-08

6.  Increasing value and reducing waste: addressing inaccessible research.

Authors:  An-Wen Chan; Fujian Song; Andrew Vickers; Tom Jefferson; Kay Dickersin; Peter C Gøtzsche; Harlan M Krumholz; Davina Ghersi; H Bart van der Worp
Journal:  Lancet       Date:  2014-01-08       Impact factor: 79.321

Review 7.  A systematic review of the outcomes reported in trials of medication review in older patients: the need for a core outcome set.

Authors:  Jean-Baptiste Beuscart; Lisa G Pont; Stefanie Thevelin; Benoit Boland; Olivia Dalleur; Anne W S Rutjes; Johanna I Westbrook; Anne Spinewine
Journal:  Br J Clin Pharmacol       Date:  2017-01-18       Impact factor: 4.335

8.  Effect of the oral intake of astaxanthin on semen parameters in patients with oligo-astheno-teratozoospermia: a randomized double-blind placebo-controlled trial.

Authors:  Senka Imamovic Kumalic; Irma Virant Klun; Eda Vrtacnik Bokal; Bojana Pinter
Journal:  Radiol Oncol       Date:  2020-10-23       Impact factor: 2.991

9.  Inadequate diversity of information resources searched in US-affiliated systematic reviews and meta-analyses: 2005-2016.

Authors:  Richeek Pradhan; Kyle Garnick; Bikramjit Barkondaj; Harmon S Jordan; Arlene Ash; Hong Yu
Journal:  J Clin Epidemiol       Date:  2018-06-04       Impact factor: 6.437

10.  Defining the hidden evidence in autism research. Forty per cent of rigorously designed clinical trials remain unpublished - a cross-sectional analysis.

Authors:  Konstantin Mechler; Georg F Hoffmann; Ralf W Dittmann; Markus Ries
Journal:  Int J Methods Psychiatr Res       Date:  2016-11-09       Impact factor: 4.035

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.