- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05129215
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
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
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Guangdong
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Guangzhou, Guangdong, China, 510000
- Sixth Affiliated Hospital, Sun Yat-sen University
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
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
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.
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The LARS score is used for assessment of bowel dysfunction after rectal cancer resection.
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Internal cross-validation
A cohort of consecutive patients from the Sixth Affiliated Hospital of Sun Yat-sen University is used for internal cross-validation.
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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.
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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
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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
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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.
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Over one year after restorative rectal cancer resection
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Collaborators and Investigators
Investigators
- Principal Investigator: Qiyuan Qin, M.D., Sixth Affiliated Hospital, Sun Yat-sen University
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- E2020016
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
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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