Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models
2013; Elsevier BV; Volume: 2; Issue: 1 Linguagem: Inglês
10.1016/s2213-8587(13)70103-7
ISSN2213-8595
AutoresAndré Pascal Kengne, Joline W. J. Beulens, Linda M. Peelen, Karel G.M. Moons, Yvonne T. van der Schouw, Matthias B. Schulze, Annemieke M. W. Spijkerman, Simon J. Griffin, Diederick E. Grobbee, Luigi Palla, María‐José Tormo, Larraitz Arriola, Noël C. Barengo, Aurelio Barricarte, Heiner Boeing, Catalina Bonet, Françoise Clavel‐Chapelon, Laureen Dartois, Guy Fagherazzi, Paul W. Franks, José María Huerta, Rudolf Kaaks, Timothy J. Key, Kay‐Tee Khaw, Kuanrong Li, Kristin Mühlenbruch, Peter M. Nilsson, Kim Overvad, Thure Filskov Overvad, Domenico Palli, Salvatore Panico, J. Ramón Quirós, Olov Rolandsson, Nina Roswall, Carlotta Sacerdote, María‐José Sánchez, Nadia Slimani, Giovanna Tagliabue, Anne Tjønneland, Rosario Tumino, Daphne L. van der A, Nita G. Forouhi, Stephen J. Sharp, Claudia Langenberg, Elio Ríboli, Nicholas J. Wareham,
Tópico(s)Cardiovascular Function and Risk Factors
ResumoThe comparative performance of existing models for prediction of type 2 diabetes across populations has not been investigated. We validated existing non-laboratory-based models and assessed variability in predictive performance in European populations.
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