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Jiang Li, MD; Stefan R. Bornstein, MD; Ruediger Landgraf, MD; Peter E. H. Schwarz, MD

	Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

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]

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