GPT and type 2 diabetes mellitus: Our simplified three-variable model (model 3) is simple for clinical application and has a high discriminative performance (AUC = 0.90), which is higher than the newest NAFLD discriminant model including waist circumference, BMI, GGT, RC, ALT, UA, HDL-C, and sex (AUC = 0.89) by Zhang et al. (9), the prediction model of BMI, TG, ALT, GGT, HDL-C, total bilirubin, and direct bilirubin (AUC = 0.861) by Cai et al. (7), and the prediction model combined with BMI, TG, GGT, age, sex, race, type 2 diabetes, and smoking history (AUC = 0.83) by Rodriguez et al. (45).