Validation of prevalent diabetes risk scores based on non-invasively measured predictors in Ghanaian migrant and non-migrant populations – The RODAM study

Author:

Osei-Yeboah JamesORCID,Kengne Andre-Pascal,Owusu-Dabo Ellis,Schulze Matthias B.ORCID,Meeks Karlijn A.C.ORCID,Klipstein-Grobusch KerstinORCID,Smeeth Liam,Bahendeka Silver,Beune ErikORCID,Moll van Charante Eric P.,Agyemang Charles

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Center for Information Technology

National Institutes of Health

Office of the Director

Wellcome Trust

European Commission

National Human Genome Research Institute

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference34 articles.

1. The diabetes risk score: a practical tool to predict type 2 diabetes risk;Lindström;Diabetes Care,2003

2. Prospective validation of american diabetes association risk tool for predicting pre-diabetes and diabetes in taiwan–taichung community health study;Li;PLoS One,2011

3. [Establishing a noninvasive prediction model for type 2 diabetes mellitus based on a rural Chinese population];Zhang;Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine],2016

4. A Community-Based Primary Prevention Programme for Type 2 Diabetes Mellitus Integrating Identification and Lifestyle Intervention for Prevention: a Cluster Randomised Controlled Trial;Davies,2017

5. Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models;Kengne;Lancet Diabetes Endocrinol.,2014

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