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Validation of a Model for Predicting Duodenal Stump Leakage After Gastrectomy

NCT06807372 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2026-03-10

No results posted yet for this study

Summary

This study aims to validate a machine learning model for predicting duodenal stump leakage after laparoscopic radical gastrectomy for gastric cancer.

Conditions

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    collaborator OTHER

  • Jinhua Central Hospital

    collaborator OTHER

  • Second Affiliated Hospital of Nanchang University

    collaborator OTHER

  • Jichao Qin

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-11
Primary Completion
2026-09-30
Completion
2026-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06807372 on ClinicalTrials.gov