Clinical trial · Observational
Validation of a Model for Predicting Anastomotic Leakage
Validation of a Machine Learning Model for Predicting Anastomotic Leakage of Esophagogastrostomy and Esophagojejunostomy: A Multicenter Prospective Study
NCT05646290CI-TRIAL-00082879completedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study will validate a machine learning model for predicting anastomotic leakage of esophagogastrostomy and esophagojejunostomy.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Gastric Cancer | Malignant Gastric Neoplasm | CURATED_BROADER | 0.80 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Incidence of anastomotic leakage
- timeFrame
- Within 30 days after operation
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 85 Years
Show eligibility criteria text
Inclusion Criteria: Inclusion Criteria: 1. Aged older than 18 years and younger than 85 years. 2. Primary gastric adenocarcinoma confirmed by preoperative pathology. 3. Expected curative resection via total or proximal gastrectomy. 4. American Society of Anesthesiologists (ASA) class I, II, or III. 5. 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
References
Publications (0)
Data not yet available
No reference posted for this study.