Background & AimsNonalcoholic fatty liver disease (NAFLD) is considered as the main cause of chronic liver disease, so the prediction of NAFLD in high-risk cohort of patients would be valuable. Although evidence indicates that anthropometric clinical indicators has been a worthy choice in the prediction of NAFLD, there is no consensus on which is the best obesity indexes for the identification of NAFLD in high-risk patients. This study aimed to compare the screening ability for NAFLD of eleven anthropometric indices in patients with diabetes.MethodsThe sample included 905 type 2 diabetic patients diagnosed by US. We selected 11 formulas: triponderal mass index (TMI), triglyceride glucose index (TyG), a body shape index (ABSI), Clίnica Universidad de Navarra—body adiposity estimator (CUN-BAE), lipid accumulation product (LAP), visceral adiposity index (VAI), Hepatic Steatosis Index (HIS), Body Mass Index (BMI), conicity index (CI), Waist to Height ratio (WHtR), and Body Roundness Index (BRI), and calculated their performance of NAFLD screening.ResultsThe percentage of US reductions were, 49.55 (VAI), 58.70 (TyG), 50.70 (TMI), 54.80 (LAP), 67.10 (HIS), 32.40 (CUN-BAE), 28.24 (CI), 48.30 (BRI), 33.28 (ABSI), 43.57 (BMI), 48.30 (WHtR). The false negative percentage were 10.29 (VAI), 18.81 (TyG), 14.49 (TMI), 11.28 (LAP), 21.02 (HIS), 8.74 (CUN-BAE), 6.08 (CI), 9.96 (BRI), 9.62 (ABSI), 11.28 (BMI), 9.96 (WHtR).ConclusionTaking negative predictive value (NPV), positive predictive value (PPV), and other aspects into account, the best formula to use for NAFLD screening was LAP.