NCT06404554

A Prediction Model of Anastomotic Stricture After Rectal Cancer

A Prediction Model of Anastomotic Stricture After Rectal Cancer: a Retrospective Cohort Analysis

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 1,542 (actual)
• Sponsor: Northern Jiangsu People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

Background: Anastomotic stricture significantly impacts patients' quality of life and long-term prognosis. However, current clinical practice lacks accurate tools for predicting anastomotic stricture. This study aimed to develop a nomogram to predict anastomotic stricture in patients with rectal cancer who have undergone anterior resection. Methods: 1542 eligible patients will be recruited for the study. Least absolute shrinkage selection operator (Lasso) analysis will be used to preliminarily select predictors. A prediction model will be constructed using multivariate logistic regression and presented as a nomogram. The performance of the nomogram will be evaluated using receiver operating characteristic (ROC) curves, calibration diagrams, and decision curve analysis (DCA). Internal validation will be conducted by assessing the model's performance on a validation cohort.

Conditions

• Colorectal Cancer
• Rectal Cancer
• Anastomotic Stenosis

Interventions

Type	Name	Description
OTHER	without any intervention	without any intervention

Timeline

• Start date: 2024-01-01
• Primary completion: 2024-03-31
• Completion: 2024-04-30
• First posted: 2024-05-08
• Last updated: 2024-05-08

Locations

1 site across 1 country: China