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Comment
. 2022 Mar 1;5(3):e222614.
doi: 10.1001/jamanetworkopen.2022.2614.

Assessing Uncontrolled Confounding in Associations of Being Overweight With All-Cause Mortality

Maya B Mathur  1   2 , Tyler J VanderWeele  3
Affiliations
Comment

Assessing Uncontrolled Confounding in Associations of Being Overweight With All-Cause Mortality

Maya B Mathur et al. JAMA Netw Open. .

Abstract

This study investigates potential uncontrolled confounding in meta-analyses of the association of being overweight with all-cause mortality.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Mathur reported being a member of the Research Advisory Board of Greener by Default and receiving research funding from Food Systems Research Fund. Dr VanderWeele reported receiving personal fees from Flerish and Flourishing Metrics.

Figures

Figure.
Figure.. Estimated Proportions of Meaningfully Strong Effect Sizes
The estimated proportions of meaningfully strong effect sizes in each meta-analysis as a function of hypothetical confounding bias in each meta-analyzed study are presented. The x-axis is presented on the log scale, with tick marks on the risk ratio (RR) scale. GBMC indicates Global Body Mass Index (BMI) Mortality Collaboration; HR, hazard ratio; shaded areas, 95% pointwise CIs, which are omitted when they were not statistically estimable (ie, for percentages close to 0).
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References

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