Antonio‐Villa NE, et al. - In the present study, the researchers sought to evaluate the performance of metabolic syndrome as a of type 2 diabetes (T2D) predictor in a model that also includes both a measure of insulin resistance and a metabolic score for visceral fat, and to propose a novel definition of metabolic syndrome. They assessed improvements in T2D risk prediction in a prospective Metabolic Syndrome Cohort (n = 6,143) utilizing International Diabetes Federation‐defined and Adult Treatment Panel III‐defined metabolic syndrome, after inclusion of an updated homeostatic model insulin resistance evaluation and a metabolic score for visceral fat in the model. In addition, they developed a modified metabolic syndrome construct, 'MS‐METS', which used the metabolic score for visceral fat instead of waist circumference to assess improved predictive performance for risk of developing T2D. Inclusion of updated homeostatic model evaluation of insulin resistance and metabolic score for visceral fat increases metabolic syndrome performance in T2D prediction. Insulin resistance assessment could be more useful than conventional metabolic syndrome and visceral adipose tissue assessment could be more useful in people with metabolic syndrome. Metabolic syndrome as defined by the modified MS-METS construct improved the accuracy of the T2D prediction.