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Clinical Trials/NCT06385860
NCT06385860Not yet recruitingNot Applicable

Research on the Prediction Model for Early Biliary Stasis After Bariatric Surgery Based on Machine Learning Algorithms

China-Japan Friendship Hospital0 sites200 target enrollmentStarted: July 2024Last updated:
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Conditions

Trial Snapshot

Phase
Not Applicable
Status
Not yet recruiting
Sponsor
Enrollment
200
Primary Endpoint
prediction model
Study OverviewStudy DesignEligibility CriteriaOutcomesInvestigatorsRecords & IdentifiersSimilar Trials

Study Overview

Brief Summary

Developing and validating a predictive model to estimate the risk of early biliary stasis following bariatric surgery

Detailed Description

This study aims to create and validate a model that predicts the likelihood of early biliary stasis in obese patients following bariatric surgery (sleeve gastrectomy and Roux-en-Y gastric bypass)

Study Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Other

Eligibility Criteria

Ages
18 Years to 65 Years (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •BMI ≥32.5 kg/m2 with one or more obesity-related comorbidities.
  • •BMI >35 kg/m2 without coexisting medical problems
  • •complete preoperative and follow-up data.

Exclusion Criteria

  • •other bariatric procedures.
  • •contraindications for bariatric surgery.

Outcomes

Primary Outcomes

prediction model

Time Frame: six months

Area under the curve (AUC) of the prediction model

early biliary stasis

Time Frame: one month

The incidence of early biliary stasis after bariatric surgery

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor
China-Japan Friendship Hospital
Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Wang Siqi

Principal Investigator

China-Japan Friendship Hospital

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Prediction Model for Early Biliary Stasis... | Clinical Trial