Development and Validation of Machine Learning Models to Evaluate the Postoperative Venous Thromboembolism Risk of Cervical Cancer Patients in China
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 1,174
- 试验地点
- 1
- 主要终点
- Whether the patient has developed VTE is determined based on the diagnostic criteria in the "Guidelines for the Prevention and Treatment of Tumor-Associated Venous Thromboembolism (2019 Edition)."
研究概览
简要总结
The aim of this study is to develop a machine learning model to accurately predict the risk of venous thromboembolism in patients with cervical cancer after surgery.
详细描述
Venous thromboembolism (VTE) is a common and life-threatening complication in patients with cervical cancer following surgery. The objective of this study is to develop a machine learning model with the potential to predict the risk of VTE in these patients postoperatively. We plan to employ partial dependence (PD) curves, breakdown (BD) curves, Ceteris-paribus (CP), and SHapley additive exPlanations (SHAP) values for a comprehensive analysis. The goal is to explore how different machine learning algorithms can be utilized as tools for personalized postoperative VTE risk assessment in cervical cancer patients.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 20 Years 至 89 Years（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •Confirmation of cervical cancer through pathological examination.
- •Receipt of surgical treatment for cervical cancer at Chongqing University Cancer Hospital in China.
- •Provision of comprehensive case information.
排除标准
- •Patients under the age of
- •History of VTE caused by other reasons before surgery.
- •Secondary cervical cancer or accompanying primary malignant tumor.
结局指标
主要结局
Whether the patient has developed VTE is determined based on the diagnostic criteria in the "Guidelines for the Prevention and Treatment of Tumor-Associated Venous Thromboembolism (2019 Edition)."
时间窗: December 31, 2023
The diagnosis of VTE primarily includes the diagnosis of DVT and PE. According to the guidelines, DVT is diagnosed using venous compression ultrasound or venography, while PE is diagnosed using CT pulmonary angiography (CTPA) or nuclear lung ventilation/perfusion imaging.
次要结局
未报告次要终点
研究者
Haike Lei
director
Chongqing University Cancer Hospital