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COMMENTS & OPINIONS
Validation of a Simple Clinical Diabetes Prediction Model in a Middle-aged, White, German Population
Jiang Li, MD;
Stefan R. Bornstein, MD;
Ruediger Landgraf, MD;
Peter E. H. Schwarz, MD
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| Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings. |
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There has been an ongoing discussion about suitable and sensitive tools to identify individuals with an increased risk of developing type 2 diabetes mellitus (T2DM). Wilson et al1 recently developed a model for the prediction of incident diabetes in middle-aged adults using data from the Framingham Offspring Study. They conclude that information from a typical clinic visit adds to T2DM prediction beyond personal awareness of diabetes risk factors and developed a simple clinical model, which should be tested in another population to validate their approach.1
We investigated 465 healthy subjects (mean ± SD age, 53.8 ± 7.9 years; mean ± SD body mass index [BMI] [calculated as weight in kilograms divided by height in meters squared], 25.1 ± 2.9) with normal fasting and 2-hour plasma glucose levels. They underwent a 75-g oral glucose tolerance test with measurements of plasma glucose and insulin levels . . . [Full Text of this Article] AUTHOR INFORMATION
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