ArticleSurgical endoscopy2019
Predicting venous thromboembolism following laparoscopic bariatric surgery: development of the BariClot tool using the MBSAQIP database.
Article in Surgical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Demographic Factors Associated with Postoperative Complications in Primary Bariatric Surgery: A Rapid Review.Obesity surgery · 2025Pooled it
- Update on antithrombotic therapy and body mass: a clinical consensus statement of the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy and the European Society of Cardiology Working Group on Thrombosis.European heart journal. Cardiovascular pharmacotherapy · 2024Pooled it
- Pooled it
- Efficacy and Safety of Rivaroxaban for Postoperative Thromboprophylaxis in Patients After Bariatric Surgery: A Randomized Clinical Trial.JAMA network open · 2023Trial
- Global Research Hotspots and Trends in Obesity-Related Venous Thromboembolism (2000-2025): a Bibliometric Analysis.Obesity surgery · 2026Article
- Post-discharge VTE prophylaxis after bariatric surgery: balancing bleeding risk and thrombosis prevention in 275,843 patients.Surgical endoscopy · 2026Article
- Prediction of venous thromboembolism after metabolic and bariatric surgery using machine learning approach: a MBSAQIP study.Surgical endoscopy · 2026Article
- Adverse Outcomes in Patients on Chronic Anticoagulation Therapy Undergoing Sleeve Gastrectomy Conversions: Analysis of 30,664 Patients from the MBSAQIP Database.Obesity surgery · 2026Article
- Artificial intelligence in obesity management: clinical evidence, translational gaps, and implementation priorities-a structured narrative review.Frontiers in endocrinology · 2026Review
- IVC filter use in patients with a history of venous thromboembolism undergoing bariatric surgery: a MBSAQIP study.Surgical endoscopy · 2025Article
- Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning.World journal of gastrointestinal surgery · 2024Article
- Venous thromboembolism (VTE) prophylaxis after bariatric surgery: a national survey of MBSAQIP director practices.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2023Article
- Gastric Bypass Mortality Trends in Racial Cohorts: Are We Improving?Obesity surgery · 2023Article
- Racial disparities in reasons for mortality following bariatric surgery.Journal of racial and ethnic health disparities · 2023Article
- 30-Day Post-Discharge Prophylaxis with Rivaroxaban Prevents Porto-mesenteric Venous Thrombosis Following Laparoscopic Sleeve Gastrectomy.Obesity surgery · 2023Article
- Expert opinion on the preoperative medical optimization of adults with diabetes undergoing metabolic surgery.World journal of diabetes · 2021Review
- A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives.Obesity surgery · 2021Article
- Development of the "OS-SEV90 Score" to Predict Severe Postoperative Complications at 90 Days Following Bariatric Surgery.Obesity surgery · 2021Article
- Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database.Surgical endoscopy · 2021Article
- Missing something? A scoping review of venous thromboembolic events and their associations with bariatric surgery. Refining the evidence base.Annals of medicine and surgery (2012) · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBariatric surgery is an effective treatment for severe obesity; however, postoperative venous thromboembolism (VTE) remains a leading cause of morbidity and mortality. The objective of this study is to develop a tool to stratify individuals undergoing laparoscopic bariatric surgery according to their 30-day VTE risk.
methodsThis is a retrospective cohort study of the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database. This registry collects data specific for metabolic or bariatric surgery with 30-day outcomes from 791 centers. Individuals undergoing primary laparoscopic Roux-en-Y gastric bypass (LRYGB) or laparoscopic sleeve gastrectomy (LSG) were included. Characteristics associated with 30-day VTE were identified using univariate and multivariable analyses. A predictive model, BariClot, was derived from a randomly-generated derivation cohort using a forward selection algorithm. BariClot's robustness was tested against a validation cohort of subjects not included in the derivation cohort. The calibration and discrimination of two previously published VTE risk tools were assessed in the MBSAQIP population and compared to BariClot.
resultsA total of 274,221 patients underwent LRYGB or LSG. Overall, 1106 (0.4%) patients developed VTE, 452 (0.2%) developed pulmonary embolism, and 43 (0.02%) died due to VTE. VTE was the most commonly identified cause of 30-day mortality. A prediction model to assess for risk of VTE, BariClot, was derived and validated. BariClot consists of history of VTE, operative time, race, and functional status. It stratifies individuals into very high (> 2%), high (1-2%), medium (0.3-1%), and low risk groups (< 0.3%). This model accurately predicted events in the validation cohort and outperformed previously published scoring systems.
conclusionsBariClot is a predictive tool that stratifies individuals undergoing bariatric surgery based on 30-day VTE risk. Stratifying low- and high-risk populations for VTE allows for informed clinical decision-making and potentially enables further research on customized prophylactic measures for low- and high-risk populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.