ArticleObesity surgery2018
Risk Prediction Model for Severe Postoperative Complication in Bariatric Surgery.
Article in Obesity surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- The Evolution of Bariatric and Metabolic Surgery in the Artificial Intelligence Era: A Comprehensive Systematic Review of Current Applications and Clinical Implications.Obesity surgery · 2026Pooled it
- Early Physiologic Derangements for Detection of Major Complications After Bariatric Surgery: A Multicenter Cohort Study.Obesity surgery · 2026Article
- Article
- Development and Internal Validation of a Multivariable Prediction Model for Postoperative Bleeding in Patients Undergoing Bariatric Surgery (The POD 1-DISCHARGE Calculator).Obesity surgery · 2026Article
- The Role of Artificial Intelligence in the Prediction of Bariatric Surgery Complications: A Systematic Review.Cureus · 2025Review
- Concomitant Panniculectomy in Abdominal Wall Reconstruction: A Narrative Review Focusing on Obese Patients.Clinics and practice · 2024Review
- Risk factors for bariatric surgery in patients over 65 years of age-a multicenter retrospective cohort study.Langenbeck's archives of surgery · 2024Article
- The Effects of Preoperative Glycaemic Control (HbA1c) on Bariatric and Metabolic Surgery Outcomes: Data from a Tertiary-Referral Bariatric Centre in the UK.Obesity surgery · 2024Article
- Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care.Journal of personalized medicine · 2023Article
- Prediction of quality-adjusted life years (QALYs) after bariatric surgery using regularized linear regression models: results from a Swedish nationwide quality register.Obesity surgery · 2023Article
- High preoperative HbA1c does not affect early or late complication rates after bariatric surgery.Surgical endoscopy · 2023Article
- Network prediction of surgical complication clusters: a prospective multicenter cohort study.Science China. Life sciences · 2023Article
- The development of machine learning in bariatric surgery.Frontiers in surgery · 2023Review
- Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma.BioData mining · 2021Article
- Development of the "OS-SEV90 Score" to Predict Severe Postoperative Complications at 90 Days Following Bariatric Surgery.Obesity surgery · 2021Article
- Applying probability calibration to ensemble methods to predict 2-year mortality in patients with DLBCL.BMC medical informatics and decision making · 2021Article
- Using Bayesian Networks to Predict Long-Term Health-Related Quality of Life and Comorbidity after Bariatric Surgery: A Study Based on the Scandinavian Obesity Surgery Registry.Journal of clinical medicine · 2020Article
- Predicting Acute Kidney Injury after Cardiac Surgery by Machine Learning Approaches.Journal of clinical medicine · 2020Article
- Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data.JMIR medical informatics · 2020Article
- Limited Effect of Beta-blockade on Postoperative Outcome After Laparoscopic Gastric Bypass Surgery.Obesity surgery · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFactors associated with risk for adverse outcome are important considerations in the preoperative assessment of patients for bariatric surgery. As yet, prediction models based on preoperative risk factors have not been able to predict adverse outcome sufficiently.
objectiveThis study aimed to identify preoperative risk factors and to construct a risk prediction model based on these.
methodsPatients who underwent a bariatric surgical procedure in Sweden between 2010 and 2014 were identified from the Scandinavian Obesity Surgery Registry (SOReg). Associations between preoperative potential risk factors and severe postoperative complications were analysed using a logistic regression model. A multivariate model for risk prediction was created and validated in the SOReg for patients who underwent bariatric surgery in Sweden, 2015.
resultsRevision surgery (standardized OR 1.19, 95% confidence interval (CI) 1.14-0.24, p < 0.001), age (standardized OR 1.10, 95%CI 1.03-1.17, p = 0.007), low body mass index (standardized OR 0.89, 95%CI 0.82-0.98, p = 0.012), operation year (standardized OR 0.91, 95%CI 0.85-0.97, p = 0.003), waist circumference (standardized OR 1.09, 95%CI 1.00-1.19, p = 0.059), and dyspepsia/GERD (standardized OR 1.08, 95%CI 1.02-1.15, p = 0.007) were all associated with risk for severe postoperative complication and were included in the risk prediction model. Despite high specificity, the sensitivity of the model was low.
conclusionRevision surgery, high age, low BMI, large waist circumference, and dyspepsia/GERD were associated with an increased risk for severe postoperative complication. The prediction model based on these factors, however, had a sensitivity that was too low to predict risk in the individual patient case.
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