Literature DB >> 28757261

Searching ClinicalTrials.gov did not change the conclusions of a systematic review.

Lisa M Wilson1, Ritu Sharma2, Sydney M Dy2, Julie M Waldfogel3, Karen A Robinson4.   

Abstract

OBJECTIVES: We assessed the effect of searching ClinicalTrials.gov on the conclusions of a systematic review. STUDY DESIGN AND
SETTING: We conducted this case study concurrently with a systematic review. We searched ClinicalTrials.gov on March 9, 2016, to identify trial records eligible for inclusion in the review. Two independent reviewers screened ClinicalTrials.gov records. We compared conclusions and strength of evidence grade with and without ClinicalTrials.gov records for 31 comparisons and 2 outcomes.
RESULTS: We identified 106 trials (53 in the peer-reviewed literature only, 23 in ClinicalTrials.gov only, and 30 in both sources). For one comparison, the addition of results identified through ClinicalTrials.gov reduced the pooled effect size. We found evidence of selective outcome reporting for two comparisons and suspected publication bias for another two comparisons. For all other comparisons, searching ClinicalTrials.gov did not change conclusions or the strength of evidence grading for the two outcomes.
CONCLUSION: Our search of ClinicalTrials.gov bolstered suspicions of reporting biases but did not change either the conclusions or the strength of evidence grading. Further research is needed to determine the effect of searching ClinicalTrials.gov on the conclusions of systematic reviews in different topic areas and as the new rules for registration of trial results take effect.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Case study; ClinicalTrials.gov; Diabetic peripheral neuropathy; Gray literature; Strength of evidence grading; Systematic review

Mesh:

Year:  2017        PMID: 28757261     DOI: 10.1016/j.jclinepi.2017.07.009

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  3 in total

1.  A web-based tool for automatically linking clinical trials to their publications.

Authors:  Neil R Smalheiser; Arthur W Holt
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

2.  Does information from ClinicalTrials.gov increase transparency and reduce bias? Results from a five-report case series.

Authors:  Gaelen P Adam; Stacey Springs; Thomas Trikalinos; John W Williams; Jennifer L Eaton; Megan Von Isenburg; Jennifer M Gierisch; Lisa M Wilson; Karen A Robinson; Meera Viswanathan; Jennifer Cook Middleton; Valerie L Forman-Hoffman; Elise Berliner; Robert M Kaplan
Journal:  Syst Rev       Date:  2018-04-16

Review 3.  Literature searching methods or guidance and their application to public health topics: A narrative review.

Authors:  Andrea Heath; Paul Levay; Daniel Tuvey
Journal:  Health Info Libr J       Date:  2021-12-01
  3 in total

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