- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03436524
A Prognostic Tool for Early Stage CLL
Development of a Prognostic Tool for Predicting Prognosis in Early Stage Chronic Lymphocytic Leukemia Patients
Study Overview
Status
Conditions
Detailed Description
Already existing and coded health-related personal data will be retrospectively collected from the CLL databases of the Institute of Oncology Research and of the Division of Hematology of the University of Eastern Piedmont.
The adjusted association between exposure variables and time to first treatment will be estimated by Cox regression. This approach will provide the covariates independently associated with progression free survival that will be utilized in the development of a model to predict time to first treatment.
Model performance (c-index and net reclassification improvement) in discriminating patients who will eventually be treated vs patients who will not be eventually treated will be compared with that of already existing prognostic model that have been validated to predict overall survival but not time to first treatment in CLL (i.e. CLL-IPI, MDACC score, Barcelona-Brno score).
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Novara, Italy, 28100
- Azienda Ospedaliera Universitaria Maggiore della Carita
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Male or female adults 18 years or older
- Diagnosis of chronic lymphocytic leukemia
- Binet A stage at presentation
- No treatment need at presentation
- Availability of the baseline and follow-up annotations
Exclusion Criteria:
- None.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Training cohort
Cohort of chronic lymphocytic leukemia patients at Binet A stage for the development of the risk stratification model
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Validation cohorts
Cohorts of chronic lymphocytic leukemia patients at Binet A stage for the validation of the risk stratification model
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Discrimination capacity of the study model (per c-index)
Time Frame: Time to first treatment: interval between diagnosis and first line therapy (event), death without treatment (censoring), or last follow up without treatment (censoring), up to 20 years
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Primary endpoint of the study model ability in discriminating patients who will be eventually treated vs patients who will not be eventually treated. The discrimination capacity of the model will be assessed by calculating the c-index. This approach will allow to estimate the model accuracy and its capacity of discriminating outcome at the individual patient level. Model performance (net reclassification improvement) in discriminating patients who will be eventually treated vs patients who will not be eventually treated will be compared with that of already existing prognostic models that have been validated to predict overall survival but not time to first treatment in CLL (i.e. CLL-IPI, MDACC score, Barcelona-Brno score). |
Time to first treatment: interval between diagnosis and first line therapy (event), death without treatment (censoring), or last follow up without treatment (censoring), up to 20 years
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Collaborators and Investigators
Publications and helpful links
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
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- IOSI-EMA-005
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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