DRKS00029165已完成不适用
Prediction of anastomotic leakage and hospitalization with machine learning after Robotic-assisted minimally invasive esophagectomy
niversitätsklinikum Münster (UKM)Klinik für Allgemein-, Viszeral- und Transplantationschirurgie0 个研究点目标入组 131 人开始时间: 2022年6月13日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 131
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18 Years 至 one（—）
- 性别
- All
入选标准
- •Patients who have undergone robotic minimally invasive Ivor Lewis esophagectomy (RAMIE) for esophageal cancer.
排除标准
- •patients with evidence of COVID-19 infection and two-stage operations
研究者
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