Validation of a Model for Predicting Anastomotic Leakage

NCT ID: NCT05646290

Last Updated: 2024-11-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

512 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-06

Study Completion Date

2024-05-06

Brief Summary

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This study will validate a machine learning model for predicting anastomotic leakage of esophagogastrostomy and esophagojejunostomy.

Detailed Description

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Anastomotic leakage is a fatal complication after total and proximal gastrectomy in gastric cancer patients. Identifying patients with high-risk of AL is important for guiding the surgeons' decision making, such as a more rigorous anastomotic operation, placing a jejunal feeding tube and dual-lumen flushable drainage catheter. We have developed a high-performance machine learning model based on 1660 gastric cancer patients, which showed good discrimination of anastomotic leakage. Hence, this multi-center prospective study will validiate the usability of the model for predicting anastomotic leakage in gastric cancer patients who receive total and proximal gastrectomy.

Conditions

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Gastric Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

85 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Jichao Qin

OTHER

Sponsor Role lead

Responsible Party

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Jichao Qin

Professor

Responsibility Role SPONSOR_INVESTIGATOR

Locations

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Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology

Wuhan, Hubei, China

Site Status

Countries

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China

Other Identifiers

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TJ-IRB20211255

Identifier Type: -

Identifier Source: org_study_id

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