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

Author:
  • Andre Pascal Kengne
  • Joline Wj Beulens
  • Linda M Peelen
  • Karel Gm Moons
  • Yvonne T van der Schouw
  • Matthias B Schulze
  • Annemieke Mw Spijkerman
  • Simon J Griffin
  • Diederick E Grobbee
  • Luigi Palla
  • Maria-Jose Tormo
  • Larraitz Arriola
  • Noël C Barengo
  • Aurelio Barricarte
  • Heiner Boeing
  • Catalina Bonet
  • Françoise Clavel-Chapelon
  • Laureen Dartois
  • Guy Fagherazzi
  • Paul Franks
  • José María Huerta
  • Rudolf Kaaks
  • Timothy J Key
  • Kay Tee Khaw
  • Kuanrong Li
  • Kristin Mühlenbruch
  • Peter Nilsson
  • Kim Overvad
  • Thure F 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 Riboli
  • Nicholas J Wareham
Publishing year: 2014
Language: English
Pages: 19-29
Publication/Series: The Lancet Diabetes & Endocrinology
Volume: 2
Issue: 1
Document type: Journal article
Publisher: Elsevier

Abstract english

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.

Keywords

  • Endocrinology and Diabetes

Other

Published
  • Genetic and Molecular Epidemiology
  • Internal Medicine
  • ISSN: 2213-8595
Paul Franks
E-mail: paul.franks [at] med.lu.se

Principal investigator

Genetic and Molecular Epidemiology

+46 40 39 11 49

60-12-021

33

Lund University Diabetes Centre, CRC, SUS Malmö, Entrance 72, House 91:12. SE-205 02 Malmö. Telephone: +46 40 39 10 00