A Prediction Model of Anastomotic Stricture After Rectal Cancer
A Prediction Model of Anastomotic Stricture After Rectal Cancer: a Retrospective Cohort Analysis
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.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Jiangsu
-
Yangzhou, Jiangsu, China, 225000
- Yifan Cheng
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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;
- severe comorbidities;
- anastomotic recurrence of rectal cancer;
- patients who had undergone stapled hemorrhoidopexy
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
patients with anastomotic stricture
without any intervention, patients diagnose as anastomotic stricture after rectal cancer surgery
|
without any intervention
|
|
patients without anastomotic stricture
without any intervention, patients does not diagnose as anastomotic stricture after rectal cancer surgery
|
without any intervention
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
patients with anastomotic stricture
Time Frame: up to six months
|
Within six months after rectal cancer surgery, the patient was diagnosed with benign stricture of the rectal anastomosis
|
up to six months
|
|
patients without anastomotic stricture
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
|
up to six months
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NorthernJiangsu004
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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