Predict 5-Year Survival in Elderly Gastric Cancer
Machine Learning Models to Predict 5-Year Post-Surgery Survival of Older Gastric Cancer Patients
1 other identifier
observational
2,187
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
January 4, 2024
CompletedFirst Submitted
Initial submission to the registry
January 5, 2024
CompletedFirst Posted
Study publicly available on registry
January 17, 2024
CompletedJanuary 17, 2024
January 1, 2024
6 months
January 5, 2024
January 5, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
5-year overall survival
Survival status at 5 years: survival, death, survival with tumor, deletion.
5 years or 60 months.
Eligibility Criteria
This retrospective prognostic study encompassed patients aged 65 or older who underwent radical gastrectomy for GC from January 2012 to April 2018. The study involved a derivation cohort and an external validation cohort.
You may qualify if:
- (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.
You may not qualify if:
- (1) postoperative pathology confirming non-gastric primary tumors; (2) distant metastasis; (3) incomplete clinical data; and (4) other concurrent malignancies within five years.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fujian Medical University Union Hospital
Fuzhou, Fujian, 350001, China
Related Publications (1)
Zhang XQ, Huang ZN, Wu J, Zheng CY, Liu XD, Huang YQ, Chen QY, Li P, Xie JW, Zheng CH, Lin JX, Zhou YB, Huang CM. Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers. BMC Cancer. 2025 Feb 1;25(1):188. doi: 10.1186/s12885-025-13545-x.
PMID: 39893402DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Huang Chang-Ming, Prof.
Fujian Medical University Union Hospital
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
January 5, 2024
First Posted
January 17, 2024
Study Start
July 1, 2023
Primary Completion
January 1, 2024
Study Completion
January 4, 2024
Last Updated
January 17, 2024
Record last verified: 2024-01