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Within study, risk of bias causes the overall analysis to be biased -
Indirectness of evidence (i.e., considering each of the following 4 PICO letters — participant, intervention, control, and outcome, especially surrogates). If any of the PICO factors are not directly clinically relevant, the evidence might be judged appropriate for downgrading -
Unexplained heterogeneity or inconsistency of results (including problems with subgroup analyses, making it difficult to interpret the overall metaanalysis) -
Lack of precision of the overall effect estimates (wide CI), when the overall analysis does not confirm that the effect size is evident -
Risk of publication bias
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A large magnitude of effect -
All plausible confounding would reduce a demonstrated effect or suggest a spurious effect when results show no effect -
Evidence of a dose-response gradient
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