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Active, not recruiting Observational

Validation of a Model for Predicting Duodenal Stump Leakage After Gastrectomy

NCT06807372 · tracked via the Priya Life Science China tracker
Sponsor
Phase
Observational
Started
2024-09-11
Last updated
2026-03-10

Condition(s) studied

Gastric Cancers

Study summary

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

Eligibility

Sex
ALL
Min age
18 Years
Max age
85 Years
Healthy volunteers
No
Inclusion Criteria: 1. Aged older than 18 years and younger than 85 years 2. Primary gastric carcinoma confirmed by preoperative pathology result 3. Expected curative resection via laparoscopic distal or total gastrectomy and reconstruction via Billroth-II or Roux-en-Y anastomosis 4. American Society of Anesthesiologists (ASA) class I, II, or III 5. With full documents of preoperative examinations such as blood test and abdominal CT scanning 6. Written informed consent Exclusion Criteria: 1. Pregnant or breastfeeding women. 2. Severe mental disorder or language communication disorder. 3. Other surgical procedures of gastrectomy is performed. 4. Interrupted of surgery for more than 30 minutes due to any cause. 5. Malignant tumors with other organs 6. Performed gastrectomy in the past

Primary outcome measure(s)

  • Incidence of duodenal stump leakage — Within 30 days after operation

Trial sites (1)

FacilityCityRegionStatus
Department of Gastrointestinal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine Hangzhou Zhejiang
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT06807372 on ClinicalTrials.gov ↗ ← All trials in China