A Recurrence Nomogram to Guide Surveillance Strategies After the Resection of Hepatoid Adenocarcinoma of the Stomach: a China Hepatoid Adenocarcinoma of the Stomach Study Group Database Study
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Enrollment
- 261
- Locations
- 1
- Primary Endpoint
- Reurrence-free survival
Study Overview
Brief Summary
This study aims to develop a nomogram to predict postoperative recurrence of HAS and guide individually tailored surveillance strategies.
Detailed Description
Patients were included from the China Hepatoid Adenocarcinoma of the Stomach Study Group (China-HASSG) database, which comprises 14 tertiary referral centers. All the patients who had undergone complete resection of a primary HAS between April 2004 and December 2019 were included. First, univariate analysis was performed in Cox regression to identify the risk factors associated with RFS. Next, variables with P< 0.05 in univariable analysis were included in the multivariable model, and the forward likelihood ratio method was used for analysis to confirm the independent prognostic factors associated with RFS. Finally, based on the results of multivariable analysis, variables that achieved significance at P< 0.05 were selected to formulate a nomogram.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Eligibility Criteria
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Patients who had undergone complete resection of a primary HAS between April 2004 and December 2019
Exclusion Criteria
- •Patients with metastatic disease, patients who had undergone palliative surgery, patients who had died within 30 days, and patients who were lost to follow-up
Outcomes
Primary Outcomes
Reurrence-free survival
Time Frame: 3 year
Reurrence-free survival was defined as the time interval from the date of the operation to the date of first recurrence or death from any cause.
Secondary Outcomes
No secondary outcomes reported
Investigators
Chang-Ming Huang, Prof.
Professor
Fujian Medical University