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Paul Franks

Paul Franks

Principal investigator

Paul Franks

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

Summary, in 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.

Department/s

  • Genetic and Molecular Epidemiology
  • Internal Medicine - Epidemiology
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2014

Language

English

Pages

19-29

Publication/Series

The Lancet Diabetes & Endocrinology

Volume

2

Issue

1

Document type

Journal article

Publisher

Elsevier

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genetic and Molecular Epidemiology
  • Internal Medicine - Epidemiology

ISBN/ISSN/Other

  • ISSN: 2213-8595