Table 4.xls (5.5 kB)
Improved clinical prediction of incident type 2 diabetes based on sICAM-1 and sVCAM-1 as independent biomarkers*.
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posted on 2016-03-23, 06:16 authored by Hemant Kulkarni, Manju Mamtani, Juan Peralta, Marcio Almeida, Thomas D. Dyer, Harald H. Goring, Matthew P. Johnson, Ravindranath Duggirala, Michael C. Mahaney, Rene L. Olvera, Laura Almasy, David C. Glahn, Sarah Williams-Blangero, Joanne E. Curran, John BlangeroImproved clinical prediction of incident type 2 diabetes based on sICAM-1 and sVCAM-1 as independent biomarkers*.
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sICAMMexican American Families ObjectiveWhileSan Antonio Family Heart StudyNGT individuals.ConclusionSerum concentrationsType 2 DiabetesT 2D 3.42 timesintercellular adhesion molecule 1hazards modelingtype 2 diabetesfuture T 2DIDIsVCAMT 2DVascular Cell Adhesion Molecules Independently Predict Progressionadhesion molecule biomarkersT 2D individualsincident T 2Dvessel cell adhesion molecule 1NRIMixed effects Cox
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