Evidence map›Paper›PMID 42165968›Full record

ArticleObesity surgery2026

Postoperative Risk Evolves in the Operating Room: Incremental Value of Routine Intraoperative Variables After Metabolic and Bariatric Surgery.

Masoud Rezvani, Amir Monshizadeh, Fakhre Al-Din Kiani, Seyed Hossein Hosseini Nourzad

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Article in Obesity surgery, 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.

Masoud RezvaniDepartment of Bariatrics, Sentara Northern Virginia Medical Center, Woodbridge, VA, USA.
Amir MonshizadehDepartment of General Surgery, Division of Minimally Invasive Surgery, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran. amir_mz1@yahoo.com.
Fakhre Al-Din KianiDepartment of General Surgery, Division of Minimally Invasive Surgery, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Seyed Hossein Hosseini NourzadDepartment of Project Management, University of Tehran, Tehran, Islamic Republic of Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMost bariatric risk prediction tools rely on preoperative variables and do not incorporate intraoperative information that may reflect evolving operative complexity. We evaluated whether routinely recorded intraoperative variables provide incremental predictive value for 30-day postoperative risk assessment.

methodsWe performed a retrospective analysis of 645,602 patients undergoing laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass identified from the 2020-2023 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database. Multivariable logistic regression models were developed using preoperative variables alone and then augmented with routinely documented intraoperative variables, including operative time, MBSAQIP-coded approach conversion, drain placement, robotic assistance, anastomosis or leak testing, and venous thromboembolism prophylaxis method. Models were developed using 2020-2022 data and temporally validated in a 2023 cohort. Model performance was assessed using discrimination (area under the receiver operating characteristic curve [AUROC]), calibration, and decision curve analysis (DCA).

resultsAdding intraoperative variables was associated with consistent but modest improvements in discrimination for common outcomes (ΔAUROC approximately + 0.008 to + 0.044), including any complication, serious complication, readmission, reintervention, reoperation, surgical-site infection, gastrointestinal bleeding, and transfusion. Findings were consistent in temporal validation. Operative time provided the most consistent incremental signal, with increasing risk per 10-minute increase. DCA demonstrated improved net benefit for selected outcomes, particularly serious complications and readmission, while gains were limited for rarer outcomes. Calibration metrics were similar between models, with no meaningful improvement after inclusion of intraoperative variables.

conclusionRoutinely collected intraoperative variables provide modest but consistent improvements in short-term risk prediction beyond preoperative factors alone and may incrementally support postoperative risk stratification for selected outcomes and perioperative planning.

Indexed as

Bariatric SurgeryGastrectomyGastric BypassObesity, MorbidPostoperative ComplicationsAdultFemaleHumansLaparoscopyMaleMiddle AgedOperating RoomsOperative TimeRetrospective StudiesRisk AssessmentIntraoperative variablesMBSAQIPMetabolic and bariatric surgeryOperative timePostoperative complicationsRisk prediction

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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.