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

• Hlavní autoři: James Osei-Yeboah (Autor), Andre-Pascal Kengne (Autor), Ellis Owusu-Dabo (Autor), Matthias B. Schulze (Autor), Karlijn A.C. Meeks (Autor), Kerstin Klipstein-Grobusch (Autor), Liam Smeeth (Autor), Silver Bahendeka (Autor), Erik Beune (Autor), Eric P. Moll van Charante (Autor), Charles Agyemang (Autor)
• Médium: Kniha
• Vydáno: Elsevier, 2023-12-01T00:00:00Z.
• Témata: article
• On-line přístup: Connect to this object online.

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...