Literature DB >> 26052852

Clinical trial registries are of minimal use for identifying selective outcome and analysis reporting.

Susan L Norris1, Haley K Holmer1, Rongwei Fu1, Lauren A Ogden1, Meera S Viswanathan2, Ahmed M Abou-Setta3.   

Abstract

OBJECTIVE: This study aimed to examine selective outcome reporting (SOR) and selective analysis reporting (SAR) in randomized controlled trials (RCTs) and to explore the usefulness of trial registries for identifying SOR and SAR. STUDY DESIGN AND
SETTING: We selected one "index outcome" for each of three comparative effectiveness reviews (CERs) of pharmacotherapy and extracted data on this outcome from trial registries and from study publications.
RESULTS: Among 50 RCTs published since 2005 and reporting the index outcome, only 50% were listed in registries; 90% of RCTs were assessed as having SOR or SAR. The index outcome in the registry was different from that in the publication in 75% of trials in two CERs, and not specified at all in the third. Reported outcomes and analyses were not consistent between the publication's methods section and the results section in 33% and 46% of the two CERs where the index outcome was a benefit. There were no statistically significant predictors of SOR and SAR in our small sample where some predictors lacked variability.
CONCLUSION: The SOR and SAR were frequent in this pilot study, and the most common type of SOR was the publication of outcomes that were not pre-specified. Trial registries were of little use in identifying SOR and of no use in identifying SAR.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  bias; randomized controlled trials; selective analysis reporting; selective outcome reporting; systematic reviews; trial registries

Mesh:

Year:  2014        PMID: 26052852     DOI: 10.1002/jrsm.1113

Source DB:  PubMed          Journal:  Res Synth Methods        ISSN: 1759-2879            Impact factor:   5.273


  6 in total

1.  Approaches to Assessing and Adjusting for Selective Outcome Reporting in Meta-analysis.

Authors:  Jeffrey L Jackson; Ethan M Balk; Noorie Hyun; Akira Kuriyama
Journal:  J Gen Intern Med       Date:  2021-10-19       Impact factor: 6.473

Review 2.  Managing the incidence of selective reporting bias: a survey of Cochrane review groups.

Authors:  Emma K Reid; Aaron M Tejani; Lawrence N Huan; Gregory Egan; Cait O'Sullivan; Alain D Mayhew; Monisha Kabir
Journal:  Syst Rev       Date:  2015-06-13

3.  A systematic review of comparisons between protocols or registrations and full reports in primary biomedical research.

Authors:  Guowei Li; Luciana P F Abbade; Ikunna Nwosu; Yanling Jin; Alvin Leenus; Muhammad Maaz; Mei Wang; Meha Bhatt; Laura Zielinski; Nitika Sanger; Bianca Bantoto; Candice Luo; Ieta Shams; Hamnah Shahid; Yaping Chang; Guangwen Sun; Lawrence Mbuagbaw; Zainab Samaan; Mitchell A H Levine; Jonathan D Adachi; Lehana Thabane
Journal:  BMC Med Res Methodol       Date:  2018-01-11       Impact factor: 4.615

Review 4.  A systematic review of the processes used to link clinical trial registrations to their published results.

Authors:  Rabia Bashir; Florence T Bourgeois; Adam G Dunn
Journal:  Syst Rev       Date:  2017-07-03

5.  Registration of published randomized trials: a systematic review and meta-analysis.

Authors:  Ludovic Trinquart; Adam G Dunn; Florence T Bourgeois
Journal:  BMC Med       Date:  2018-10-16       Impact factor: 8.775

Review 6.  A methodological approach for assessing the uptake of core outcome sets using ClinicalTrials.gov: findings from a review of randomised controlled trials of rheumatoid arthritis.

Authors:  Jamie J Kirkham; Mike Clarke; Paula R Williamson
Journal:  BMJ       Date:  2017-05-17
  6 in total

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