Scores for Predicting Diabetes Remission in Bariatric Surgery: a Systematic Review and Meta-analysis

This systematic review aims to compare the accuracy of pre-existent scores predicting diabetes remission after bariatric and metabolic surgery. Among the scores, DiaBetter presented the largest area under the curve (AUC) (0.87; 95% CI, 0.84–0.9). Ad-DiaRem had the lowest AUC (0.79; 95% CI, 0.76–0.83). Ad-DiaRem showed the highest sensitivity (91%; 95% CI, 86–96%), with a specificity of 71.23% (95% CI 50.43 to 92.06%). IMS showed a sensitivity of 59% (95% CI, 20–90%), with the highest specificity (86%; 95% CI, 69–94%). Clinicians should associate the findings of the present review with patients’ individual characteristics to help predict diabetes remission and evaluate the probability of the patient benefit from surgery.