ArticleSurgical endoscopy2023
A nomogram to predict postoperative nausea and vomiting in the ward following laparoscopic bariatric surgery.
Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- The Efficacy of Aprepitant in Preventing Post-bariatric Surgery Nausea and Vomiting: Evidence from Clinical Trials.Obesity surgery · 2024Pooled it
- Comparison of Effects of Sugammadex and Neostigmine on Postoperative Neuromuscular Blockade Recovery in Patients with Interstitial Lung Diseases Undergoing Transbronchial Cryobiopsy: A Randomized Trial.Medical science monitor : international medical journal of experimental and clinical research · 2024Trial
- Development and Validation of a Dynamic Nomogram for Predicting Postdischarge Nausea and Vomiting in Adults Undergoing Ambulatory Surgery: A Retrospective Cohort Study.International journal of nursing practice · 2026Article
- A Pain-informed Predictive Model and Mediation Analysis for Postoperative Nausea after Metabolic Bariatric Surgery: Insights from the PAIN OUT Registry.Obesity surgery · 2026Article
- A dynamic nomogram for predicting postoperative nausea and vomiting after laparoscopic surgery: a prospective study.BMC anesthesiology · 2026Article
- Application of Machine Learning to Predict Postoperative Nausea and Vomiting in Laparoscopic Sleeve Gastrectomy.Obesity surgery · 2025Article
- Postoperative Nausea and Vomiting in Female Patients Undergoing Laparoscopic Gastrointestinal Surgery with Double Prophylactic Therapy.Surgery journal (New York, N.Y.) · 2024Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostoperative nausea and vomiting (PONV) is a common and distressing complication of laparoscopic bariatric surgery (LBS). However, there is a lack of effective integrated prediction models for preventing and treating PONV in patients after LBS.
methodsBased on a randomized controlled trial conducted between November 1, 2021, and May 13, 2022, we included 334 participants who underwent LBS according to the inclusion criteria. The database was divided randomly into training and validation cohorts in a ratio of 7:3. Least absolute shrinkage and selection operator plus multivariable logistic regression were used to identify independent predictors and construct a nomogram. The performance of the nomogram was assessed and validated by the area under the receiver operating characteristic curve (AUC), the concordance index (C-index), calibration plots, and a decision curve analysis (DCA). We also explored specific risk factors for PONV in patients with diabetes.
resultsThe subjects were divided randomly into training (n = 234) and validation (n = 100) cohorts. Age, history of diabetes, type of surgery, and sugammadex use were incorporated to construct a nomogram prediction model. In the training cohort, the AUC and the optimism-corrected C-index were 0.850 [95% confidence interval (CI) 0.801-0.899] and 0.848, while in the validation cohort they were 0.847 (95% CI 0.768-0.925) and 0.844, respectively. The calibration plots showed good agreement between the predicted and actual observations. The DCA results demonstrated that the nomogram was clinically useful. The type of surgery, sugammadex use, and insulin level at 120 min were predictors of PONV in patients with diabetes with an AUC of 0.802 (95% CI 0.705-0.898).
conclusionsWe developed and validated a prediction model for PONV in patients after LBS. A risk factor analysis of PONV in patients with diabetes provides clinicians with a more precise prophylactic protocol.
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