Estimated Optimal Individualized Diabetes Risk Prediction From Preventive Interventions in the U.S. General Population

We demonstrate the potential population health benefits for diabetes prevention with use of a clinical decision tool, a diabetes risk prediction model with individualized preventive intervention effects.

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Publication Details

Journal
Diabetes Care
Published
2026-02-02
DOI
https://doi.org/10.2337/dc25-2268
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00
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article

Estimated Optimal Individualized Diabetes Risk Prediction From Preventive Interventions in the U.S. General Population

Byron Jaeger, Michael P. Bancks, Yitbarek N Demesie, Brian Wells et al.
Diabetes Care
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Estimated Optimal Individualized Diabetes Risk Prediction From Preventive Interventions in the U.S. General Population

Byron Jaeger, Michael P. Bancks, Yitbarek N Demesie, Brian Wells, Ramon Casanova
article en

Abstract

We demonstrate the potential population health benefits for diabetes prevention with use of a clinical decision tool, a diabetes risk prediction model with individualized preventive intervention effects.

Diabetes CareVol. 49(4)
Wake Forest University (US)
Zero hunger
Openalex Percentile: Top 71%
Diabetes, Cardiovascular Risks, and Lipoproteins
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Estimated Optimal Individualized Diabetes Risk Prediction From Preventive Interventions in the U.S. General Population — Byron Jaeger, Michael P. Bancks, et al. · Diabetes Care (2026) | TGRS Research Map | TGRS