 This study aimed to evaluate the performance of various stepwise screening methods for identifying individuals at high risk of type 2 diabetes. These methods combine non-invasive measurements such as waist to height ratio, WT-CHR, or scores from a non-invasive risk score, Ostrisk, with lab-based measurements such as fasting plasma glucose levels, FBG. The study found that these methods had varying degrees of accuracy in identifying individuals at high risk of type 2 diabetes. The best performing method was one which used a combination of lab-based measurements and a score from the Australian type 2 diabetes risk assessment tool, Ostrisk. This method had the highest sensitivity, 20 percent, and specificity, 98 percent, while also having a positive predictive value, PPV, of 46 percent. This article was authored by Moch Tabalat-Faligny, Farzad Hadeh, Muhammad Ali Mansournia, and others.