Evidence map›Paper›PMID 42301468›Full record

ArticleSurgical endoscopy2026

Differences in utilization and outcomes for laparoscopic versus robotic cholecystectomy in patients with class IV obesity: a retrospective cohort analysis of the NSQIP database.

Austin E Airhart, Qais AbuHasan, Dimitrios Stefanidis, Tarik K Yuce

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Austin E AirhartSurgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Qais AbuHasanSurgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Dimitrios StefanidisSurgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Tarik K YuceSurgical Outcomes and Quality Improvement Center (SOQIC), Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA. tyuce@iu.edu.ORCID http://orcid.org/0000-0002-4575-6368

Funding

CTSA K12 Program at Indiana UniversityK12TR004415 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI SAMIR KUMAR GUPTA · 2023 to 2026
$3.4M
NCATS NIH HHS K12TR004415
6 · The paper itself

Abstract

backgroundAs the prevalence of class IV obesity (BMI ≥ 50) has continued to rise, the incidence of obesity-related gallstone disease and cholecystectomy in this population has also increased. Yet it remains unclear whether a robotic approach may offer selective benefits for these patients compared to traditional laparoscopic techniques. The objectives of this study are to (1) describe associations between obesity class and operative approach and (2) assess the impact of robotic approach and obesity class on perioperative outcomes.

methodsThe ACS-NSQIP database was queried from 2022 to 2023 to identify all laparoscopic and robotic cholecystectomies. Patients were stratified by obesity class. Associations between obesity class and operative approach were evaluated with multivariable logistic regression. Multivariable linear and logistic regression models examined associations between operative approach and obesity class with continuous and binary outcome measures, respectively. Sensitivity analysis was subsequently performed to adjust for postoperative biliary diagnosis.

resultsA total of 99,013 patients underwent minimally invasive cholecystectomy, with 11,951 (12%) cases performed robotically and 2403 (2.4%) with class IV obesity. Patients with class IV obesity were more likely to undergo robotic operations (21.0% vs not obese 11.0%, aOR 1.75, 95%CI 1.56-1.95). While the robotic approach was correlated with increased operative time (β = 9.6, 95%CI 8.8-10.0), it was associated with lower odds of perioperative complications compared to laparoscopic cases (2.5% vs 3.0%, aOR 0.88, 95%CI 0.77-0.99). When adjusted for postoperative diagnosis, the association between the robotic operative approach and lower perioperative complication rate was no longer statistically significant.

conclusionsPatients with class IV obesity had increased odds of undergoing robotic cholecystectomy, and while the robotic approach did not improve operative time, it was associated with decreased odds of death or serious morbidity, although this association was likely due to differences in patient selection and case mix.

Indexed as

Cholecystectomy, LaparoscopicGallstonesObesityRobotic Surgical ProceduresAgedCholecystectomyDatabases, FactualFemaleHumansMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesTreatment OutcomeCholecystectomyCholelithiasisGallstonesObesityRobotic surgerySurgical outcomes

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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.