ArticleObesity surgery2025
Prediction Model of Diabetes Remission at 1-Year after Sleeve Gastrectomy and Comparison with other Models.
Article in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Feasibility of AI-simulated patients for tailored selection of diabetes remission prediction models in metabolic bariatric surgery: a proof-of-concept study.Diabetology & metabolic syndrome · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundAlthough numerous prediction models are available for diabetes remission following metabolic bariatric surgery, few are based on sleeve gastrectomy (SG). This study aimed to establish a predictive model for type 2 diabetes mellitus (T2DM) remission following SG and evaluate the efficacy of existing predictive models.
methodsPatient data were gathered from a cohort study titled "Longitudinal Study of Bariatric Surgery in Western China." The synthetic minority oversampling technique was implemented, with 70% randomly selected as the training set and the remaining 30% as the testing set. Univariate logistic regression was used to identify factors associated with T2DM remission. These were included in subsequent stepwise multivariate analyses. A nomogram was then constructed. It was evaluated using a receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis. Finally, eight pre-existing predictive models were validated.
resultsInitially, 166 patients were enrolled with a T2DM remission rate of 89.2%. Univariate logistic regression indicated that male patients, T2DM duration exceeding 1 year, elevated fasting blood glucose levels, and higher HbA1c levels were less likely to achieve remission 1 year following SG. A nomogram was constructed using variables, including sex, T2DM duration, and HbA1c levels. The ROC curve indicated that the nomogram had higher accuracy (AUC = 0.826, 95%CI: 0.768-0.884). Moreover, the AUCs were 0.790 (95%CI: 0.692-0.887), 0.865 (95%CI: 0.774-0.956) and 0.813 (95%CI: 0.733-0.893) for the testing, externally validated, and raw datasets, respectively.
conclusionsThe nomogram exhibited high efficacy in predicting T2DM remission in Chinese patients who underwent SG.
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