Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients
Development and Validation of Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients: a Multicenter Retrospective Study
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
This multicenter, retrospective cohort study aimed to develop and validate an explainable prediction model for prognosis after gastrectomy in patients with gastric cancer. The study included patients who underwent radical gastrectomy for primary gastric or gastroesophageal junction cancer across multiple institutions in China.
The primary objective was to create a machine learning-based model to predict postoperative outcomes following gastrectomy, using readily available clinical and pathological parameters. The main outcome of interest was early recurrence within 2 years after surgery, which significantly impacts overall prognosis.
The study employed various machine learning algorithms to develop prediction models, which were then compared and validated. Model performance was assessed through measures such as area under the receiver operating characteristic curve (AUC), calibration, and Brier score. The SHapley Additive exPlanations (SHAP) method was used to interpret the model and rank feature importance.
This research aims to provide clinicians with a tool for identifying patients at higher risk of poor postoperative outcomes who may benefit from more intensive post-operative monitoring and early intervention strategies, potentially improving prognosis for gastric cancer patients.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Fujian
-
Fuzhou, Fujian, China, 350001
- Chang-ming Huang
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients diagnosed with primary gastric or gastroesophageal junction cancer
- Underwent radical gastrectomy
- Complete clinical and pathological data available
Exclusion Criteria:
- Presence of distant metastases before surgery
- Non-adenocarcinoma histology
- Incomplete follow-up data
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Survival
Time Frame: Up to 5 years after surgery
|
Assessment of overall survival outcomes in gastric cancer patients after gastrectomy.
|
Up to 5 years after surgery
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Early Recurrence
Time Frame: Within 2 years after surgery
|
Incidence of cancer recurrence within 2 years after gastrectomy.
|
Within 2 years after surgery
|
|
Late Recurrence
Time Frame: From 2 years up to 5 years after surgery
|
Incidence of cancer recurrence occurring more than 2 years after gastrectomy.
|
From 2 years up to 5 years after surgery
|
|
Postoperative Complications
Time Frame: Within 30 days after surgery
|
Incidence and severity of complications following gastrectomy.
|
Within 30 days after surgery
|
|
Neoadjuvant Treatment Efficacy
Time Frame: From initiation of neoadjuvant therapy to surgery (typically 2-3 months)
|
Assessment of tumor response to neoadjuvant therapy before gastrectomy.
|
From initiation of neoadjuvant therapy to surgery (typically 2-3 months)
|
|
5-Year Survival Rate
Time Frame: 5 years after surgery
|
Percentage of patients alive 5 years after gastrectomy.
|
5 years after surgery
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Chang-Ming Huang, MD, Fujian Medical University Union Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2024KY154
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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