Using the Burden of Proof analytical tool, a meta-analysis found weak or no evidence of associations between unprocessed redmeat consumption and increased risk of six cardiometabolic disease and cancer outcomes. IHME_UW
. Then we calculated the exposure level that minimized combined-cause mortality for each draw and reported the median and associated 95% UI.Using estimates of the mean risk function and corresponding 95% UIs—inclusive of between-study heterogeneity and reflective of other bias adjustments—as described in the preceding sections, we calculated a BPRF for each risk–outcome pair.
We then calculated ROSs as the signed average log RR of the BPRF over the 15th to 85th percentiles of observed exposure. For example, a mean log BPRF of 0.4 for a harmful risk and a mean log BPRF of –0.4 for a protective risk would both have an ROS of 0.4 because the magnitude of the log RR is the same. In contrast, for risk–outcome pairs with a BPRF opposite the null from the mean risk, ROS would be calculated as negative.
Finally, to aid interpretability of our findings for policy makers and research funders, we converted the ROSs to star-rating categories from one to five, with a higher rating indicating that the evidence for and magnitude of a relationship between risk and outcome is stronger. The conservative interpretation suggests that, for one-star pairs, there may be no true association between risk exposure and health outcome.
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