Development and Validation of a Diabetes Risk Prediction Model With Individualized Preventive Intervention Effects
This is the first study to develop and validate a diabetes risk prediction model with individualized preventive intervention effects that may improve clinical decision-making and diabetes prevention.
Authors
- Brian J. Wells (ORCID: https://orcid.org/0000-0001-7310-6525)
- Ramon Casanova (ORCID: https://orcid.org/0000-0002-6934-5942)
- Byron C. Jaeger (ORCID: https://orcid.org/0000-0001-7399-2299)
- Jeanette M. Stafford (ORCID: https://orcid.org/0000-0001-6307-1517)
- Michael P. Bancks (ORCID: https://orcid.org/0000-0003-3694-6060)
- Yitbarek N Demesie
Institutions
- Wake Forest University (US)
Publication Details
- Journal
- The Journal of Clinical Endocrinology & Metabolism
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1210/clinem/dgaf250
- Citations
- 3
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 3.88
Funders
- U.S. Department of Health and Human Services
- American Diabetes Association
- Bristol-Myers Squibb
- Deutsches Krebsforschungszentrum
- National Institutes of Health
- Centers for Disease Control and Prevention
- National Institute on Aging
- National Heart, Lung, and Blood Institute
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Child Health and Human Development
- Office of Research on Women's Health
- National Center for Advancing Translational Sciences