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Risk scores for predicting type 2 diabetes: using the optimal tool

✍ Scribed by M. Alssema; D. Vistisen; M. W. Heymans; G. Nijpels; C. Glümer; P. Z. Zimmet; J. E. Shaw; M. Eliasson; C. D. A. Stehouwer; A. G. Tabák; S. Colagiuri; K. Borch-Johnsen; J. M. Dekker; for the DETECT-2 collaboration


Book ID
105820303
Publisher
Springer
Year
2011
Tongue
English
Weight
74 KB
Volume
54
Category
Article
ISSN
0012-186X

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OBJECTIVE—Interventions to prevent type 2 diabetes should be directed toward individuals at increased risk for the disease. To identify such individuals without laboratory tests, we developed the Diabetes Risk Score. RESEARCH DESIGN AND METHODS—A random population sample of 35- to 64-year-old men a