2003
DOI: 10.1097/00006199-200307000-00008
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Grey Literature in Meta-Analyses

Abstract: Meta-analyses that exclude grey literature likely (a) over-represent studies with statistically significant findings, (b) inflate effect size estimates, and (c) provide less precise effect size estimates than meta-analyses including grey literature. Meta-analyses should include grey literature to fully reflect the existing evidential base and should assess the impact of methodological variations through moderator analysis.

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Cited by 329 publications
(255 citation statements)
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“…Funnel plots suggested potential publication bias. It remains unclear whether investigators do not attempt to publish or are unable to publish findings from studies without statistically significant intervention effects [37]. We expected the findings of considerable heterogeneity.…”
Section: Discussionmentioning
confidence: 96%
“…Funnel plots suggested potential publication bias. It remains unclear whether investigators do not attempt to publish or are unable to publish findings from studies without statistically significant intervention effects [37]. We expected the findings of considerable heterogeneity.…”
Section: Discussionmentioning
confidence: 96%
“…These databases contain articles in languages other than English but not grey literature 5 ; some country experiences might have been missed by restricting the search to peerreviewed journals.…”
Section: Methodsmentioning
confidence: 99%
“…Grey literature has often come under scrutiny among some academics, suggesting that the lack of peer review could reduce the rigor and validity of research. However, research has shown that although published research is more likely to contain results from larger samples, methodological rigor does not appear to differ between published and grey literature (Conn et al, 2015).…”
Section: Methodsmentioning
confidence: 99%