MedTrace Logo

Evaluation of AL Prediction for Rectal Cancer

NCT05610904 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 418

Last updated 2022-11-09

No results posted yet for this study

Summary

Anastomotic leakage is one of the most serious postoperative complications of low rectal cancer, with an incidence of 3%-21%. The occurrence of anastomotic leakage is related to many factors, and the occurrence of anastomotic leakage can be predicted by building a prediction model. Most of the anastomotic leakage prediction models constructed in the past are nomograms, which have limitations in the fitting of model creation. In the previous study, the center took the lead in building a random forest anastomotic leakage prediction model based on machine learning. This study intends to prospectively enroll patients with rectal cancer undergoing anterior abdominal resection and use their clinical data to prospectively verify the efficacy of the anastomotic leakage prediction model, and further improve and promote the prediction model.

Conditions

  • Anastomotic Leak Rectum

Interventions

DIAGNOSTIC_TEST

Prediction model evaluation

a machine learning based anastomotic leakage prediction model

Sponsors & Collaborators

  • Changhai Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Model
PARALLEL

Eligibility

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

Timeline & Regulatory

Start
2022-12-10
Primary Completion
2024-10-10
Completion
2025-10-10

Countries

  • China

Study Locations

More Related Trials

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 NCT05610904 on ClinicalTrials.gov