Predict 5-Year Survival in Elderly Gastric Cancer

N/ACompletedNCT06208046

Fujian Medical University2,187 enrolled

Overview

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.

This is a retrospective, supervised learning, data mining study.

Study Type

OBSERVATIONAL

Enrollment

2,187

Conditions

Gastric Cancer Machine Learning

Eligibility

Sex: ALLMin age: 65 Years

Medical Language ↔ Plain English

Inclusion Criteria: * (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. Exclusion Criteria: * (1) postoperative pathology confirming non-gastric primary tumors; (2) distant metastasis; (3) incomplete clinical data; and (4) other concurrent malignancies within five years.

Locations (1)

Fujian Medical University Union Hospital

Fuzhou, Fujian, China

Outcomes

Primary Outcomes

5-year overall survival

Survival status at 5 years: survival, death, survival with tumor, deletion.

Time frame: 5 years or 60 months.

Data from ClinicalTrials.gov

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