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Research on the Prediction Model for Early Biliary Stasis After Bariatric Surgery Based on Machine Learning Algorithms
Developing and validating a predictive model to estimate the risk of early biliary stasis following bariatric surgery
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)
Age
18 - 65 years
Sex
ALL
Healthy Volunteers
No
Start Date
July 1, 2024
Primary Completion Date
September 1, 2024
Completion Date
April 1, 2025
Last Updated
April 30, 2024
200
ESTIMATED participants
Lead Sponsor
China-Japan Friendship Hospital
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT00001987