Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models.

AP, Kengne; JW, Beulens; LM, Peelen; KG, Moons; der Schouw YT, van; MB, Schulze; AM, Spijkerman; SJ, Griffin; DE, Grobbee; L, Palla; MJ, Tormo; L, Arriola; NC, Barengo; A, Barricarte; H, Boeing; C, Bonet; F, Clavel-Chapelon; L, Dartois; G, Fagherazzi; PW, Franks; JM, Huerta; R, Kaaks; TJ, Key; KT, Khaw; K, Li; K, Mühlenbruch; PM, Nilsson; K, Overvad; TF, Overvad; D, Palli; S, Panico; JR, Quirós; O, Rolandsson; N, Roswall; C, Sacerdote; MJ, Sánchez; N, Slimani; G, Tagliabue; A, Tjønneland; R, Tumino; der A DL, van; NG, Forouhi; SJ, Sharp; C, Langenberg; E, Riboli; NJ, Wareham

doi:10.1016/s2213-8587(13)70103-7

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Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models.

Shared by NobleBlocks on Oct 8, 2013 • 12:00 AM UTC

Authors:

Kengne AP

Beulens JW

Peelen LM

Abstract

<h4>Background</h4>The 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.<h4>Methods</h4>We selected n...

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