Yifan Cheng
Yangzhou, Jiangsu, 225000, China
NCT Number: NCT06404554
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.
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Notify Me18 year–80 year
All sexes
Observational
Yangzhou, Jiangsu, 225000, China
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
without any intervention
Time frame: up to six months
Within six months after rectal cancer surgery, the patient was diagnosed with benign stricture of the rectal anastomosis
Time frame: up to six months
Within six months after rectal cancer surgery, the patient was not diagnosed with benign stricture of the rectal anastomosis
Northern Jiangsu People's Hospital
Other
A Prediction Model of Anastomotic Stricture After Rectal Cancer: a Retrospective Cohort Analysis
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