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

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Abstract

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.

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Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Correspondence to Francisco Tustumi.

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Key Points

DiaBetter score has the highest AUC to predict diabetes mellitus remission after bariatric surgery. Ad-DiaRem score has the highest sensitivity, and IMS has the highest specificity. Clinicians should associate the findings of the present review with patients’ individual characteristics to determine the best way to evaluate bariatric patients for predicting diabetes remission preoperatively.

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de Abreu Sesconetto, L., da Silva, R.B.R., Galletti, R.P. et al. Scores for Predicting Diabetes Remission in Bariatric Surgery: a Systematic Review and Meta-analysis. OBES SURG 33, 600–610 (2023). https://doi.org/10.1007/s11695-022-06382-5

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