Prediction Model for Early Biliary Stasis After Bariatric Surgery

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

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06385860

Acronym

PM-EBS-BS

Enrollment

200

Registered

2024-04-26

Start date

2024-07-31

Completion date

2025-04-30

Last updated

2024-04-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Biliary Stasis, Diabetes, Gallstones, Obesity

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)

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

OTHER

Eligibility

Sex/Gender

ALL

Age

18 Years to 65 Years

Healthy volunteers

Inclusion criteria

1. BMI ≥32.5 kg/m2 with one or more obesity-related comorbidities. 2. BMI \>35 kg/m2 without coexisting medical problems 3. complete preoperative and follow-up data.

Exclusion criteria

1. other bariatric procedures. 2. contraindications for bariatric surgery.

Design outcomes

Primary

Measure	Time frame	Description
early biliary stasis	one month	The incidence of early biliary stasis after bariatric surgery
prediction model	six months	Area under the curve (AUC) of the prediction model

Contacts

Primary Contactsiqi Wang

wsqi@pku.edu.cn8618810315722

Backup ContactHua Meng

menghuade@zryhyy.com.cn8618611457779

Outcome results