NCT01949259已完成不适用
Rapid Learning in Practice: A Lung Cancer Survival Decision Support System in Routine Patient Care Data
Maastricht Radiation Oncology1 个研究点 分布在 1 个国家目标入组 10,000 人开始时间: 2013年9月最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 10,000
- 试验地点
- 1
- 主要终点
- Survival
研究概览
简要总结
A retrospective, data mining project that re-uses routine patient care data for decision support systems.
详细描述
By installing tools that extract clinical data from electronic health records and image data from the Picture Archiving and Communication System, decision support systems are built and validated that can predict survival and treatment toxicities of lung cancer patients treated with radiotherapy.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients notes as suffering from lung cancer in at least one clinical data source.
排除标准
- 未提供
结局指标
主要结局
Survival
时间窗: From radiotherapy until death
Retrospective data will be collected from each included patient from start of radiotherapy until end of study or death (an expected average of 10 years).
次要结局
- Local control(From start of treatment until death,)
- Distant metastases(From treatment until end of study)
- Dyspnea(From inclusion until end of study)
- Dysphagia(From treatment until end of study)
研究者
研究点 (1)
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