Literature DB >> 26925817

Publication bias in dermatology systematic reviews and meta-analyses.

Paul Atakpo1, Matt Vassar2.   

Abstract

Systematic reviews and meta-analyses in dermatology provide high-level evidence for clinicians and policy makers that influence clinical decision making and treatment guidelines. One methodological problem with systematic reviews is the under representation of unpublished studies. This problem is due in part to publication bias. Omission of statistically non-significant data from meta-analyses may result in overestimation of treatment effect sizes which may lead to clinical consequences. Our goal was to assess whether systematic reviewers in dermatology evaluate and report publication bias. Further, we wanted to conduct our own evaluation of publication bias on meta-analyses that failed to do so. Our study considered systematic reviews and meta-analyses from ten dermatology journals from 2006 to 2016. A PubMed search was conducted, and all full-text articles that met our inclusion criteria were retrieved and coded by the primary author. 293 articles were included in our analysis. Additionally, we formally evaluated publication bias in meta-analyses that failed to do so using trim and fill and cumulative meta-analysis by precision methods. Publication bias was mentioned in 107 articles (36.5%) and was formally evaluated in 64 articles (21.8%). Visual inspection of a funnel plot was the most common method of evaluating publication bias. Publication bias was present in 45 articles (15.3%), not present in 57 articles (19.5%) and not determined in 191 articles (65.2%). Using the trim and fill method, 7 meta-analyses (33.33%) showed evidence of publication bias. Although the trim and fill method only found evidence of publication bias in 7 meta-analyses, the cumulative meta-analysis by precision method found evidence of publication bias in 15 meta-analyses (71.4%). Many of the reviews in our study did not mention or evaluate publication bias. Further, of the 42 articles that stated following PRISMA reporting guidelines, 19 (45.2%) evaluated for publication bias. In comparison to other studies, we found that systematic reviews in dermatology were less likely to evaluate for publication bias. Evaluating and reporting the likelihood of publication bias should be standard practice in systematic reviews when appropriate.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Dermatology; Meta-analysis; Publication bias; Systematic review

Mesh:

Year:  2016        PMID: 26925817     DOI: 10.1016/j.jdermsci.2016.02.005

Source DB:  PubMed          Journal:  J Dermatol Sci        ISSN: 0923-1811            Impact factor:   4.563


  15 in total

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2.  Efficacy and safety of adalimumab in hidradenitis suppurativa: A systematic review and meta-analysis of randomized controlled trials.

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Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

3.  Potential publication bias in chiropractic and spinal manipulation research listed on clinicaltrials.gov.

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Journal:  J Can Chiropr Assoc       Date:  2020-04

Review 4.  The detection accuracy of cone beam CT for osseous defects of the temporomandibular joint: a systematic review and meta-analysis.

Authors:  Ruo-Han Ma; Shuang Yin; Gang Li
Journal:  Sci Rep       Date:  2016-10-06       Impact factor: 4.379

Review 5.  The Correlation of MGMT Promoter Methylation and Clinicopathological Features in Gastric Cancer: A Systematic Review and Meta-Analysis.

Authors:  Yong Ding; Qihua Yang; Bojun Wang; Guoliang Ye; Xiaoqiong Tong
Journal:  PLoS One       Date:  2016-11-08       Impact factor: 3.240

Review 6.  Evaluations of the uptake and impact of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Statement and extensions: a scoping review.

Authors:  Matthew J Page; David Moher
Journal:  Syst Rev       Date:  2017-12-19

7.  Methodological quality of systematic reviews referenced in clinical practice guidelines for the treatment of opioid use disorder.

Authors:  Andrew Ross; Justin Rankin; Jason Beaman; Kelly Murray; Philip Sinnett; Ross Riddle; Jordan Haskins; Matt Vassar
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

Review 8.  The Indirect Efficacy Comparison of DNA Methylation in Sputum for Early Screening and Auxiliary Detection of Lung Cancer: A Meta-Analysis.

Authors:  Di Liu; Hongli Peng; Qi Sun; Zhongyao Zhao; Xinwei Yu; Siqi Ge; Hao Wang; Honghong Fang; Qing Gao; Jiaonan Liu; Lijuan Wu; Manshu Song; Youxin Wang
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9.  Quality Assessment of Published Systematic Reviews in High Impact Cardiology Journals: Revisiting the Evidence Pyramid.

Authors:  Abdelrahman I Abushouk; Ismaeel Yunusa; Ahmed O Elmehrath; Abdelmagid M Elmatboly; Shady Hany Fayek; Omar M Abdelfattah; Anas Saad; Toshiaki Isogai; Shashank Shekhar; Ankur Kalra; Grant W Reed; Rishi Puri; Samir Kapadia
Journal:  Front Cardiovasc Med       Date:  2021-06-09

Review 10.  Methods for Developing Evidence Reviews in Short Periods of Time: A Scoping Review.

Authors:  Ahmed M Abou-Setta; Maya Jeyaraman; Abdelhamid Attia; Hesham G Al-Inany; Mauricio Ferri; Mohammed T Ansari; Chantelle M Garritty; Kenneth Bond; Susan L Norris
Journal:  PLoS One       Date:  2016-12-08       Impact factor: 3.240

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