GPT and periodontitis: The 17 predictors (age, race, education level, moderate leisure, high work intensity, income-to-poverty ratio, drinking frequency, smoking status, ALB, ALT, TC, Cr, LDH, TP, K, Osm, and GHb levels) were considered the most valuable characteristics for developing a predictive model for periodontitis development in patients with diabetes, which could be used to construct predictive models.