ArticleObesity surgery2024
Diagnostic Value of Advanced-DiaRem for Predicting Diabetic remission after One Anastomosis Gastric Bypass/Minigastric Bypass.
Article in Obesity surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers 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
- Diabetes and obesity: A debate on bariatric interventions and its implications.World journal of diabetes · 2024Article
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Authors and funding
7 authors.
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Abstract
backgroundObesity is a main risk factor for type 2 diabetes. Bariatric surgery can help diabetic patients with obesity. Among different types of metabolic surgeries, one anastomosis gastric bypass (OAGB) surgery is a new procedure.
aimTo comprehensively determine the diagnostic values of advanced-diabetic remission (Ad-DiaRem), one of the scoring systems, in predicting diabetic remission after OAGB surgery.
methodsIn this retrospective cohort study, patients aged 18-60 years with type 2 diabetes and obesity, who had undergone OAGB surgery, were included. Diagnostic values of Ad-DiaRem on diabetes remission, after OAGB surgery, which consist of sensitivity (Sen), specificity (Spe), positive and negative predictive values (P/NPV), positive and negative likelihood ratios (P/NLR), accuracy, and odd ratio (OR), were determined.
resultsThe percentages of complete diabetic remission after surgery were 56.3% and 53.8% in 12th and 24th months, respectively. The remission cut-off point for Ad-DiaRem was defined 10 considering the highest Youden's index. Among the evaluation indices, the values of Spe, PPV, accuracy, and OR were assigned a high value in both 12th and 24th months of follow-up; however, the area under curve (AUC) was 20% in both.
conclusionAccording to our findings, the model of diagnostic values of Ad-DiaRem for predicting diabetic remission should be specified according to race, place of residence, and prevalence of diabetes in society. Presently, this model can be used cautiously until a new model is proposed by further studies.
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