Predict 5-Year Survival in Elderly Gastric Cancer

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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Key information

Conditions

Gastric Cancer Digestive System Diseases Digestive System Neoplasms Gastrointestinal Diseases Gastrointestinal Neoplasms Machine Learning Neoplasms Neoplasms by Site Stomach Diseases Stomach Neoplasms

Age range

65 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Fujian Medical University Union Hospital

Fuzhou, Fujian, 350001, China

About this study

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

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

5-year overall survival

Time frame: 5 years or 60 months.

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

Sponsors and collaborators

Lead sponsor

Fujian Medical University

Other

Collaborators

Fujian Medical University Union Hospital

Registry information

Official study title

Machine Learning Models to Predict 5-Year Post-Surgery Survival of Older Gastric Cancer Patients

Important dates

Study start: 2023
Primary completion: 2024
Study completion: 2024
First posted: Jan 17, 2024
Registry last updated: Jan 17, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed