Active — Not RecruitingNot Applicable

Validation of a Model for Predicting Duodenal Stump Leakage After Gastrectomy

China1,200 participantsStarted 2024-09-11

Plain-language summary

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

Age range18 Years – 85 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

✓. Aged older than 18 years and younger than 85 years
✓. Primary gastric carcinoma confirmed by preoperative pathology result
✓. Expected curative resection via laparoscopic distal or total gastrectomy and reconstruction via Billroth-II or Roux-en-Y anastomosis
✓. American Society of Anesthesiologists (ASA) class I, II, or III
✓. With full documents of preoperative examinations such as blood test and abdominal CT scanning
✓. Written informed consent

Incidence of duodenal stump leakage

Timeframe: Within 30 days after operation

NCT IDNCT06807372

SponsorJichao Qin

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2026-09