ArticleObesity surgery2025
A New Nomogram for Predicting Early Weight Loss Outcomes in Patients with Obesity Following Laparoscopic Sleeve Gastrectomy.
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 3 papers.
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Who cites it
3 citing papers in PubMed.
- Preoperative Triglyceride-Glucose Index as a Predictor of Weight Loss Following Sleeve Gastrectomy: A Retrospective Cohort Study.Obesity surgery · 2026Article
- Characteristics and risk factors of immune-related adverse events in patients receiving immune checkpoint inhibitor combination therapy.Frontiers in oncology · 2026Article
- Artificial Intelligence in Bariatric Surgery: Optimizing Personalized Decision-Making, Predictive Monitoring, and Postoperative Outcomes.Obesity surgery · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
purposeLaparoscopic sleeve gastrectomy (LSG) is an effective treatment for obesity, but early weight loss outcomes vary owing to individual nutritional and metabolic differences. We developed a nomogram model to predict early weight loss after LSG, incorporating computed tomography (CT)-based body composition metrics and preoperative inflammatory-nutritional markers.
methodsWe retrospectively analyzed 305 patients with obesity who underwent LSG at the Affiliated Hospital of Qingdao University between January 2016 and June 2023. An external validation cohort of 105 patients from a separate institution was also included. Patients were categorized into optimal remission (%total weight loss [%TWL] ≥ 25%) and suboptimal remission (%TWL < 25%) weight loss groups one year postoperatively. Predictive variables were identified using Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression. A nomogram was constructed based on the significant predictors. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC).
resultsIndependent predictors of suboptimal remission included BMI > 40 kg/m
conclusionThe developed nomogram effectively predicts early weight loss outcomes after LSG, supporting targeted perioperative management and personalized nutritional interventions.
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