2008
DOI: 10.1016/j.jclinepi.2007.11.010
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Contour-enhanced meta-analysis funnel plots help distinguish publication bias from other causes of asymmetry

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Cited by 1,492 publications
(1,048 citation statements)
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“…The combined OR were estimated from forest plots (Peters et al, 2008). We performed a sensitivity analysis removing one study at a time and analyzing the remaining studies to evaluate the effect of a single study.…”
Section: Resultsmentioning
confidence: 99%
“…The combined OR were estimated from forest plots (Peters et al, 2008). We performed a sensitivity analysis removing one study at a time and analyzing the remaining studies to evaluate the effect of a single study.…”
Section: Resultsmentioning
confidence: 99%
“…Here, it appears that many of the potentially ''missing'' samples are located in the insignificant (i.e., the white) area of the distribution. This provides credence to the likelihood that the asymmetry was caused by the suppression of insignificant effect sizes, predominantly from small samples (i.e., publication bias; Peters et al, 2008;Sterne et al, 2011). Finally, once the ''missing'' samples are imputed (with the trim and fill method; see the following section and Figure 1 (c)), it is evident that the imputed samples are small in size and that all except one of their effect sizes are insignificant.…”
mentioning
confidence: 82%
“…When this assumption is violated (e.g., sex moderates the magnitude of an effect size), the trim and fill method, as any funnel plotbased method to assess publication bias (e.g., Begg & Mazumdar, 1994;Egger, Smith, Schneider, & Minder, 1997;Peters et al, 2008;, may yield incorrect results (Duval, 2005;Terrin, Schmid, Lau, & Olkin, 2003). Then, trim and fill (and any other funnel plot-based method) can be performed in more homogeneous (i.e., moderator controlled) subgroups of the overall effect size distribution.…”
mentioning
confidence: 99%
“…18 Funnel plot asymmetry was assessed using Begg and Egger tests. 19,20 If the funnel plot was asymmetrical or the P-value was found to be <0.10 by Egger's test, then publication bias was considered to exist.…”
Section: Methodsmentioning
confidence: 99%
“…This suggests that the observed asymmetry is more likely to be attributable to factors other than publication bias, such as variable study quality. 18 …”
Section: Overall Effect In the Seven Studiesmentioning
confidence: 99%