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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
Effects Models, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from <t>the</t> <t>fixed-effects</t> meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.
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(A) Forest plot from the fixed-effects meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.

Journal: PeerJ

Article Title: Effects of probiotic supplementation on immune and inflammatory markers in athletes: an umbrella review and re-analysis of published meta-analyses of randomised controlled trials

doi: 10.7717/peerj.20809

Figure Lengend Snippet: (A) Forest plot from the fixed-effects meta-analysis of the effect on secretory IgA levels. (B) Funnel plot corresponding to the IgA meta-analysis for assessing publication bias. (C) Forest plot from the random-effects meta-analysis of the effect on IL-6 levels. (D) Funnel plot corresponding to the IL-6 meta-analysis for assessing publication bias.

Article Snippet: Overlap among studies was evaluated using the Graphical Representation of Overlap for OVErviews (GROOVE) tool, and data were re-analyzed using random- or fixed-effects models in Stata 15.0.

Techniques: