Predict 5-Year Survival in Elderly Gastric Cancer

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

2187 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-07-01

Study Completion Date

2024-01-04

Brief Summary

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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.

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Detailed Description

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

Conditions

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Gastric Cancer Machine Learning

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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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.

Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No