Racial Differences in the Performance of Existing Risk Prediction Models for Incident Type 2 Diabetes: The CARDIA Study
Author(s) -
Mary E. Lacy,
Gregory A. Wellenius,
Mercedes R. Carnethon,
Eric B. Loucks,
April P. Carson,
Xi Luo,
Catarina I. Kiefe,
Annie Gjelsvik,
Erica P. Gunderson,
Charles B. Eaton,
Wen-Chih Wu
Publication year - 2015
Publication title -
diabetes care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.636
H-Index - 363
eISSN - 1935-5548
pISSN - 0149-5992
DOI - 10.2337/dc15-0509
Subject(s) - medicine , diabetes mellitus , type 2 diabetes , atherosclerosis risk in communities , cohort , framingham risk score , cohort study , area under the curve , predictive modelling , disease , endocrinology , statistics , mathematics
In 2010, the American Diabetes Association (ADA) added hemoglobin A1c (A1C) to the guidelines for diagnosing type 2 diabetes. However, existing models for predicting diabetes risk were developed prior to the widespread adoption of A1C. Thus, it remains unknown how well existing diabetes risk prediction models predict incident diabetes defined according to the ADA 2010 guidelines. Accordingly, we examined the performance of an existing diabetes prediction model applied to a cohort of African American (AA) and white adults from the Coronary Artery Risk Development Study in Young Adults (CARDIA).
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