Predict 5-Year Survival in Elderly Gastric Cancer
- Conditions
- Machine LearningGastric Cancer
- Registration Number
- NCT06208046
- Lead Sponsor
- Fujian Medical University
- Brief Summary
In this study, elderly patients with gastric cancer who underwent radical gastrectomy in Union Hospital Affiliated to Fujian Medical University from 2012 to 2018 were included as a derived cohort, and the training set and internal validation set were randomly divided by 4:1. Machine learning strategies of random forest, decision tree and support vector machine are used to construct survival prediction model. Each model was tested in an internal validation set and an external validation set consisting of patients from two other large medical centers.
- Detailed Description
This is a retrospective, supervised learning, data mining study.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 2187
- (1) GC diagnosis confirmed by abdominal computed tomography (CT) or biopsy; (2) age ≥65 years at diagnosis; (3) underwent radical surgical resection without evidence of distant metastasis; and (4) availability of complete clinical and pathological data.
- (1) postoperative pathology confirming non-gastric primary tumors; (2) distant metastasis; (3) incomplete clinical data; and (4) other concurrent malignancies within five years.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 5-year overall survival 5 years or 60 months. Survival status at 5 years: survival, death, survival with tumor, deletion.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Fujian Medical University Union Hospital
🇨🇳Fuzhou, Fujian, China