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Construction and Validation of Risk Prediction Model for Gastrointestinal Dysfunction of Patient With Colorectal Cancer

NCT05891301 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 737

Last updated 2023-07-27

No results posted yet for this study

Summary

To understand the current situation of the postoperative gastrointestinal dysfunction in patients with colorectal cancer effect a radical cure, and analyze the risk factors, and build the colorectal cancer radical surgery in patients with gastrointestinal dysfunction risk prediction nomogram model decision tree classification and regression tree model, through internal validation evaluation the performance of the two models in the modeling data set and dividing the postoperative gastrointestinal dysfunction risk level.Two risk prediction models were used to carry out external verification, evaluate the clinical practicability and effectiveness of the model, and provide reference for further promotion of the model.

Conditions

  • Patient With Colorectal Cancer
  • Surgery

Interventions

OTHER

Questionnaires set

The contents of the questionnaire included gender, age, BMI, previous operation history, previous medication history, smoking history,patient mobility in the hospital, etc.Questionnaire was completed on the first postoperative day.From the third day to the end of the seventh day, patients were evaluated daily for gastrointestinal dysfunction.Postoperative mobility was assessed daily.

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Wei Xia, Phd · Sun Yat-sun Unversity

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-05-01
Primary Completion
2024-05-01
Completion
2024-05-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05891301 on ClinicalTrials.gov