Publication bias in recent meta-analyses.

INTRODUCTION: Positive results have a greater chance of being published and outcomes that are statistically significant have a greater chance of being fully reported. One consequence of research underreporting is that it may influence the sample of studies that is available for a meta-analysis. Smal...

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Main Author: Michal Kicinski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3868709?pdf=render
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spelling doaj-f586b79ed2904fcab2a0bdd7b81318c22020-11-25T01:22:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01811e8182310.1371/journal.pone.0081823Publication bias in recent meta-analyses.Michal KicinskiINTRODUCTION: Positive results have a greater chance of being published and outcomes that are statistically significant have a greater chance of being fully reported. One consequence of research underreporting is that it may influence the sample of studies that is available for a meta-analysis. Smaller studies are often characterized by larger effects in published meta-analyses, which can be possibly explained by publication bias. We investigated the association between the statistical significance of the results and the probability of being included in recent meta-analyses. METHODS: For meta-analyses of clinical trials, we defined the relative risk as the ratio of the probability of including statistically significant results favoring the treatment to the probability of including other results. For meta-analyses of other studies, we defined the relative risk as the ratio of the probability of including biologically plausible statistically significant results to the probability of including other results. We applied a Bayesian selection model for meta-analyses that included at least 30 studies and were published in four major general medical journals (BMJ, JAMA, Lancet, and PLOS Medicine) between 2008 and 2012. RESULTS: We identified 49 meta-analyses. The estimate of the relative risk was greater than one in 42 meta-analyses, greater than two in 16 meta-analyses, greater than three in eight meta-analyses, and greater than five in four meta-analyses. In 10 out of 28 meta-analyses of clinical trials, there was strong evidence that statistically significant results favoring the treatment were more likely to be included. In 4 out of 19 meta-analyses of observational studies, there was strong evidence that plausible statistically significant outcomes had a higher probability of being included. CONCLUSIONS: Publication bias was present in a substantial proportion of large meta-analyses that were recently published in four major medical journals.http://europepmc.org/articles/PMC3868709?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Michal Kicinski
spellingShingle Michal Kicinski
Publication bias in recent meta-analyses.
PLoS ONE
author_facet Michal Kicinski
author_sort Michal Kicinski
title Publication bias in recent meta-analyses.
title_short Publication bias in recent meta-analyses.
title_full Publication bias in recent meta-analyses.
title_fullStr Publication bias in recent meta-analyses.
title_full_unstemmed Publication bias in recent meta-analyses.
title_sort publication bias in recent meta-analyses.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description INTRODUCTION: Positive results have a greater chance of being published and outcomes that are statistically significant have a greater chance of being fully reported. One consequence of research underreporting is that it may influence the sample of studies that is available for a meta-analysis. Smaller studies are often characterized by larger effects in published meta-analyses, which can be possibly explained by publication bias. We investigated the association between the statistical significance of the results and the probability of being included in recent meta-analyses. METHODS: For meta-analyses of clinical trials, we defined the relative risk as the ratio of the probability of including statistically significant results favoring the treatment to the probability of including other results. For meta-analyses of other studies, we defined the relative risk as the ratio of the probability of including biologically plausible statistically significant results to the probability of including other results. We applied a Bayesian selection model for meta-analyses that included at least 30 studies and were published in four major general medical journals (BMJ, JAMA, Lancet, and PLOS Medicine) between 2008 and 2012. RESULTS: We identified 49 meta-analyses. The estimate of the relative risk was greater than one in 42 meta-analyses, greater than two in 16 meta-analyses, greater than three in eight meta-analyses, and greater than five in four meta-analyses. In 10 out of 28 meta-analyses of clinical trials, there was strong evidence that statistically significant results favoring the treatment were more likely to be included. In 4 out of 19 meta-analyses of observational studies, there was strong evidence that plausible statistically significant outcomes had a higher probability of being included. CONCLUSIONS: Publication bias was present in a substantial proportion of large meta-analyses that were recently published in four major medical journals.
url http://europepmc.org/articles/PMC3868709?pdf=render
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