title: Risk scores for predicting type 2 diabetes: using the optimal tool.
authors.forename: M
authors.initials: M
authors.lastname: Alssema
authors.forename: D
authors.initials: D
authors.lastname: Vistisen
authors.forename: M W
authors.initials: MW
authors.lastname: Heymans
authors.forename: G
authors.initials: G
authors.lastname: Nijpels
authors.forename: C
authors.initials: C
authors.lastname: Glümer
authors.forename: P Z
authors.initials: PZ
authors.lastname: Zimmet
authors.forename: J E
authors.initials: JE
authors.lastname: Shaw
authors.forename: M
authors.initials: M
authors.lastname: Eliasson
authors.forename: C D A
authors.initials: CD
authors.lastname: Stehouwer
authors.forename: A G
authors.initials: AG
authors.lastname: Tabák
authors.forename: S
authors.initials: S
authors.lastname: Colagiuri
authors.forename: K
authors.initials: K
authors.lastname: Borch-Johnsen
authors.forename: J M
authors.initials: JM
authors.lastname: Dekker
mesh_terms: D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology*; D005260:Female; D018149:Glucose Intolerance / Q000453:epidemiology*; D006801:Humans; D008297:Male