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

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

Background: Non-invasive diabetes risk models are a cost-effective tool in large-scale population screening to identify those who need confirmation tests, especially in resource-limited settings. Aims: This study aimed to evaluate the ability of six non-invasive risk models (Cambridge, FINDRISC, Kuw...

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Bibliographic Details
Main Authors: James Osei-Yeboah, Andre-Pascal Kengne, Ellis Owusu-Dabo, Matthias B. Schulze, Karlijn A.C. Meeks, Kerstin Klipstein-Grobusch, Liam Smeeth, Silver Bahendeka, Erik Beune, Eric P. Moll van Charante, Charles Agyemang
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Public Health in Practice
Subjects:
Diabetes risk prediction
External validation
Sub-Saharan Africa population
Migrant population
Online Access:http://www.sciencedirect.com/science/article/pii/S266653522300099X

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http://www.sciencedirect.com/science/article/pii/S266653522300099X

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