MBSC - Weigh the Odds icon

MBSC - Weigh the Odds

Evidence Tier:CLINICAL GRADE

Validated in clinical trials · Supported by multiple studies

For:Clinicians & Healthcare Professionals

App Summary

MBSC - Weigh the Odds is a clinical decision support tool for healthcare providers that predicts patient-specific outcomes for bariatric surgery, including projected weight loss, complication rates, and venous thromboembolism (VTE) risk. An external validation study (N=51,291) of the complication model demonstrated good calibration, and a separate validation study (N=276) found strong agreement between actual and predicted 1-year weight loss in a Hispanic population. The associated research concludes that the calculator can improve informed consent and support shared decision-making by providing empirically based, patient-specific projections for risk and weight loss.

App Screenshots

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Detailed Description

Functionality & Mechanism

Developed by the Michigan Bariatric Surgery Collaborative, this clinical decision support tool provides risk stratification for bariatric surgery candidates. The system leverages validated prediction models to generate patient-specific outcomes. By processing clinical data such as comorbidities, demographics, and planned procedure type, the interface calculates projected 1-year weight loss, 30-day serious complication risk, and venous thromboembolism (VTE) probability. The VTE module also generates risk-stratified treatment guidelines, facilitating informed preoperative counseling and surgical planning.

Evidence & Research Context

  • The core risk prediction models were developed and internally validated using a prospective clinical registry of over 25,000 bariatric surgery patients in Michigan.
  • The weight loss calculator was validated in a U.S. Hispanic population (N=276), demonstrating strong agreement between predicted and actual 1-year weight (concordance correlation coefficient = .80).
  • An external validation study (N=51,291) in a Dutch population confirmed the serious complication model has good calibration, indicating its generalizability outside the original development cohort.
  • A retrospective study (N=1,050) demonstrated the calculator's utility in identifying patients at risk for lower-than-expected weight loss as early as two months post-surgery.
  • The venous thromboembolism (VTE) risk model was derived from an analysis of 27,818 patients, identifying significant predictors for risk stratification and prophylaxis guidance.

Intended Use & Scope

This tool is designed for bariatric surgeons and clinicians for preoperative risk assessment and patient counseling. Its primary utility is to facilitate shared decision-making by quantifying individualized outcome probabilities. The calculator provides risk estimates, not diagnostic certainties, and is not a substitute for comprehensive clinical evaluation and professional judgment.

Studies & Publications

5 publications

Peer-reviewed research associated with this app.

Validation Study

Validation of the Michigan Bariatric Surgery Collaborative outcomes calculator in a Hispanic population

Chaudhry et al. (2025) · Surgery for Obesity and Related Diseases

Accurately predicted weight loss outcomes in Hispanic bariatric surgery patients.

Background The Michigan Bariatric Surgery Collaborative (MBSC) has developed an app that calculates outcomes, to include predicted weight loss and venous thromboembolism rates. The app is called Weigh the Odds. This app provides an important method for discussing outcomes with patients. Objectives We sought to determine the validity of the MBSC outcomes calculator in a Hispanic population. Setting Community practice in Texas. Methods A community
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Validation Study

Predicting serious complication risks after bariatric surgery: external validation of the Michigan Bariatric Surgery Collaborative risk prediction model using the Dutch Audit for Treatment of Obesity

Akpinar et al. (2022) · Surgery for Obesity and Related Diseases

Predicted complication risk accurately overall but showed modest ability to distinguish individual risk levels.

Background Risk-prediction tools can support doctor–patient (shared) decision making in clinical practice by providing information on complication risks for different types of bariatric surgery. However, external validation is imperative to ensure the generalizability of predictions in a new patient population. Objective To perform an external validation of the risk-prediction model for serious complications from the Michigan Bariatric Surgery
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MBSC - Weigh the Odds

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