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. 2023 Feb 6;46(4):794–800. doi: 10.2337/dc22-1833

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© 2023 by the American Diabetes Association

Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license.

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Meta-analysis of eMERGE type 1 diabetes classification algorithm performance compared with manual medical record review. The forest plot demonstrates how different factors affect the likelihood of misclassification by the eMERGE type 1 diabetes algorithm in a meta-analysis of participants from the MGB Biobank and BioMe. Odds ratios were obtained from a single logistic regression model that simultaneously controlled for race, sex, age, and BMI. The 95% CI is displayed for each data point.