A Prediction Model of Anastomotic Stricture After Rectal Cancer (NCT06404554) | Clinical Trial Compass
CompletedNot Applicable
A Prediction Model of Anastomotic Stricture After Rectal Cancer
China1,542 participantsStarted 2024-01-01
Plain-language 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.
Who can participate
Age range18 Years – 80 Years
SexALL
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Inclusion criteria
✓. pathological confirmation of rectal cancer;
✓. eligibility for surgical intervention;
✓. undergoing first rectal cancer surgery;
✓. acquisition of written informed consent from patients and their families;
✓. no history of hypertrophic scar or allergic predispositions.
Exclusion criteria
✕. absence of postoperative follow-up or anastomosis details;
✕. patients subjected to Hartmann or Miles procedures;
✕. emergency surgery candidates due to conditions like perforation or obstruction;
✕. diagnosis of multiple primary malignancies;
✕. intraoperative discovery of widespread implant metastases within the abdominal cavity;