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临床试验/NCT06385860
NCT06385860尚未招募不适用

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

China-Japan Friendship Hospital0 个研究点目标入组 200 人开始时间: 2024年7月最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
200
主要终点
prediction model

研究概览

简要总结

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

详细描述

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)

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Other

入排标准

年龄范围
18 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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.

排除标准

  • other bariatric procedures.
  • contraindications for bariatric surgery.

结局指标

主要结局

prediction model

时间窗: six months

Area under the curve (AUC) of the prediction model

early biliary stasis

时间窗: one month

The incidence of early biliary stasis after bariatric surgery

次要结局

未报告次要终点

研究者

发起方
China-Japan Friendship Hospital
申办方类型
Other
责任方
Principal Investigator
主要研究者

Wang Siqi

Principal Investigator

China-Japan Friendship Hospital

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