The ARIC predictive model reliably predicted risk of type II diabetes in Asian populations

BACKGROUND: Identification of high-risk individuals is crucial for effective implementation of type 2 diabetes mellitus prevention programs. Several studies have shown that multivariable predictive functions perform as well as the 2-hour post-challenge glucose in identifying these high-risk individu...

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Detalles Bibliográficos
Autores principales: Chin, Calvin Woon-Loong, Chia, Elian Hui San, Ma, Stefan, Heng, Derrick, Tan, Maudrene, Lee, Jeanette, Tai, E Shyong, Salim, Agus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353252/
https://www.ncbi.nlm.nih.gov/pubmed/22497781
http://dx.doi.org/10.1186/1471-2288-12-48

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353252/
https://www.ncbi.nlm.nih.gov/pubmed/22497781
http://dx.doi.org/10.1186/1471-2288-12-48

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