Comparison of Six Different Machine Learning Methods With Traditional Model for Low Anterior Resection Syndrome After Minimally Invasive Surgery for Rectal Cancer -- Development and External Validation of a Nomogram : A Dual-center Cohort Study

NCT ID: NCT07267767

Last Updated: 2025-12-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

3500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-04-10

Study Completion Date

2024-06-20

Brief Summary

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Following thorough screening based on inclusion and exclusion criteria, patients from the two sizable medical centers were split up into two cohorts for this study. Cohort 1 served primarily as the training and internal validation set, while Cohort 2 was used for external validation of the predictive model constructed from Cohort 1. We used six distinct machine learning methodss, including DT, RF, XGBOOST, SVM, lightGBM, and SHLNN, in addition to conventional logistic regression to create the predictive model. We chose the approach with the best sensitivity and specificity by comparing the concordance index(C-index) akin to the area under the ROC curve (AUC) of these seven distinct model-building methods. The predictive model for Cohort 1 was then built using this method, and internal validation was finished. Lastly, Cohort 2 underwent external validation of the predictive model

Detailed Description

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Conditions

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Rectal Cancer LARS - Low Anterior Resection Syndrome

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Interventions

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nCRT

neoadjuvant chemoradiotherapy

Intervention Type PROCEDURE

BMI

Body Mass Index

Intervention Type BEHAVIORAL

Distance from AV

Distance from AV

Intervention Type DIAGNOSTIC_TEST

Surgical type

laparoscopic and robotic surgery

Intervention Type PROCEDURE

Surgical approach

tatme + isr

Intervention Type PROCEDURE

LCA Preserving

LCA Preserving

Intervention Type PROCEDURE

Prophylactic stoma

Prophylactic stoma

Intervention Type PROCEDURE

Anastomotic leakage

Anastomotic leakage

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

\-

Exclusion Criteria

\-
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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China-Japan Union Hospital, Jilin University

OTHER

Sponsor Role collaborator

Northern Jiangsu People's Hospital

OTHER

Sponsor Role lead

Responsible Party

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Daorong Wang

NANJING UNIVERSITY

Responsibility Role PRINCIPAL_INVESTIGATOR

Other Identifiers

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jiangsuNorthen20

Identifier Type: -

Identifier Source: org_study_id

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