# 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

> **NCT07267767** · — · COMPLETED · sponsor: **Northern Jiangsu People's Hospital** · enrollment: 3500 (actual)

## Conditions studied

- Rectal Cancer
- LARS - Low Anterior Resection Syndrome

## Interventions

- **PROCEDURE:** nCRT
- **BEHAVIORAL:** BMI
- **DIAGNOSTIC_TEST:** Distance from AV
- **PROCEDURE:** Surgical type
- **PROCEDURE:** Surgical approach
- **PROCEDURE:** LCA Preserving
- **PROCEDURE:** Prophylactic stoma
- **PROCEDURE:** Anastomotic leakage

## Key facts

- **NCT ID:** NCT07267767
- **Lead sponsor:** Northern Jiangsu People's Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2015-04-10
- **Primary completion:** 2023-10-07
- **Final completion:** 2024-06-20
- **Target enrollment:** 3500 (ACTUAL)
- **Last updated:** 2025-12-05

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07267767

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07267767, "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". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT07267767. Licensed CC0.

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