Development and Validation of The Post-RT LARS Prediction Model (PORTLARS) (PORTLARS)

Development and Validation of a Nomogram to Predict Severe Bowel Dysfunction After Rectal Cancer Resection and Neoadjuvant Radiotherapy: A Multicenter, Observational Clinical Study

Bowel dysfunction is common after a restorative rectal cancer resection. Neoadjuvant radiotherapy is an influential factor that impairs bowel function and quality of life. However, almost half patients who have received primary surgery with preoperative radiotherapy are able to restore a good or moderate bowel function in the long term. This multicenter observational study aims to identify the risk factors of severe bowel dysfunction after rectal cancer resection and neoadjuvant radiotherapy, in accordance with the LARS score, and to build a model that predicts long-term major LARS in the early stage of follow-up. Development and validation cohorts are enrolled from tertiary hospitals in China.

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

901

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510000
        • Sixth Affiliated Hospital, Sun Yat-sen University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients who underwent preoperative radiotherapy and curative low anterior resection for nonmetastatic rectal cancer.

Description

Inclusion Criteria:

  • Curative low anterior resection for nonmetastatic rectal cancer
  • Preoperative radiotherapy

Exclusion Criteria:

  • Death
  • Metastasis or recurrence
  • Postoperative radiotherapy
  • Cognitive disorder
  • Intestinal stoma
  • Rectal cancer resection for <12 months
  • Stoma reversal for <6 months

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Development
A primary cohort of eligible patients from the Sixth Affiliated Hospital of Sun Yat-sen University is used for model derivation.
The LARS score is used for assessment of bowel dysfunction after rectal cancer resection.
Internal cross-validation
A cohort of consecutive patients from the Sixth Affiliated Hospital of Sun Yat-sen University is used for internal cross-validation.
The LARS score is used for assessment of bowel dysfunction after rectal cancer resection.
External validation
An independent cohort of eligible patients from other hospitals is used for external validation.
The LARS score is used for assessment of bowel dysfunction after rectal cancer resection.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Area under the curve (AUC)
Time Frame: Over one year after restorative rectal cancer resection

The AUC of PORTLARS in predicting major bowel dysfunction after restorative rectal cancer resection with neoadjuvant radiotherapy.

The AUC is evaluated by calculating the area under curve of receiver operating characteristics which plots the proportion of true positive cases (sensitivity) against the proportion of false positive cases (1-specificity) based on various predictive probability threshold.

Over one year after restorative rectal cancer resection

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sensitivity
Time Frame: Over one year after restorative rectal cancer resection

The sensitivity of PORTLARS in predicting major bowel dysfunction after restorative rectal cancer resection with neoadjuvant radiotherapy.

Model sensitivity is evaluated by calculating the proportion of the 'predicted major LARS' subjects among the total 'actual major LARS' subjects.

Over one year after restorative rectal cancer resection
Specificity
Time Frame: Over one year after restorative rectal cancer resection

The specificity of PORTLARS in predicting major bowel dysfunction after restorative rectal cancer resection with neoadjuvant radiotherapy.

Model specificity is evaluated by calculating the proportion of the 'predicted no/minor LARS' subjects among the total 'actual no/minor LARS' subjects.

Over one year after restorative rectal cancer resection
Positive prediction value (PPV)
Time Frame: Over one year after restorative rectal cancer resection

The PPV of PORTLARS in predicting major bowel dysfunction after restorative rectal cancer resection with neoadjuvant radiotherapy.

Model PPV is evaluated by calculating the proportion of the 'actual major LARS' subjects among the total 'predicted major LARS' subjects.

Over one year after restorative rectal cancer resection
Negative prediction value (NPV)
Time Frame: Over one year after restorative rectal cancer resection

The NPV of PORTLARS in predicting major bowel dysfunction after restorative rectal cancer resection with neoadjuvant radiotherapy.

Model NPV is evaluated by calculating the proportion of the 'actual no/minor LARS' subjects among the total 'predicted no/minor LARS' subjects.

Over one year after restorative rectal cancer resection

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Net reclassification index (NRI)
Time Frame: Over one year after restorative rectal cancer resection
The additive NRI of PORTLARS compared to other models is evaluated by calculating the percentage of the 'actual major LARS' subjects correctly reclassified to the percentage of the 'actual no/minor LARS' subjects who are correctly reclassified.
Over one year after restorative rectal cancer resection

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Qiyuan Qin, M.D., Sixth Affiliated Hospital, Sun Yat-sen University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

March 6, 2020

Primary Completion (ACTUAL)

October 31, 2022

Study Completion (ACTUAL)

October 31, 2022

Study Registration Dates

First Submitted

November 15, 2021

First Submitted That Met QC Criteria

November 15, 2021

First Posted (ACTUAL)

November 22, 2021

Study Record Updates

Last Update Posted (ACTUAL)

November 30, 2022

Last Update Submitted That Met QC Criteria

November 25, 2022

Last Verified

November 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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