Key result
The UKPDS model was compared to the Framingham model for predicting 10-year coronary artery disease risk in diabetic patients, but results were not reported in the truncated abstract.
Why the study?
Does the U.K. Prospective Diabetes Study (UKPDS) model improve accuracy in the prediction of 10-year risk for CAD compared to the Framingham model in diabetic patients?
Observational
Does the U.K. Prospective Diabetes Study (UKPDS) model improve accuracy in the prediction of 10-year risk for CAD compared to the Framingham model in diabetic patients?
UKPDS vs Framingham CAD risk prediction in diabetes remains inconclusive; leaves open whether UKPDS improves accuracy and requires further validation.
According to epidemiological and angiographic studies (1,2), diabetic patients present a two to four times greater risk for coronary artery disease (CAD) than nondiabetic individuals. The Framingham model (3) estimates 10-year CAD risk based on the traditional risk factors, including age, sex, HDL and LDL cholesterol, hypertension, and smoking. In addition to these risk factors, the U.K. Prospective Diabetes Study (UKPDS) model, designed for people with type 2 diabetes (4), incorporates more specific variables, such as HbA1c, age at diabetes diagnosis, and diabetes duration. The aim of this analysis was to compare the accuracy of these models in the prediction of 10-year risk for CAD in diabetic patients. Clinical information related to the above factors was retrieved …
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Protopsaltis et al. (2004) conducted an observational in Diabetes. U.K. Prospective Diabetes Study (UKPDS) model vs. Framingham model was evaluated on Accuracy in the prediction of 10-year risk for coronary artery disease. The UKPDS model was compared to the Framingham model for predicting 10-year coronary artery disease risk in diabetic patients, but results were not reported in the truncated abstract.
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