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
- 否
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
Wang Siqi
Principal Investigator
China-Japan Friendship Hospital
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