Understanding Health After Leukemia Treatment in People with Down Syndrome
This observational study aims to understand the long-term health of people with Down syndrome after they have been treated for acute leukemia. Researchers want to learn more about common health problems (chronic health conditions) and other long-term effects that may happen after cancer treatment. By collecting information through clinical evaluations, neurocognitive assessments, questionnaires, and surveys, the study hopes to identify factors that contribute to these conditions. This information will help develop better care guidelines to improve the quality of life for survivors. You may be able to join if you are 6 to 39 years old, have Down syndrome, and have been treated for B Acute Lymphoblastic Leukemia or Myeloid Leukemia associated with Down Syndrome. The study is looking for 330 participants.
- Study design
- This is an observational study, meaning researchers will collect information without providing new treatments. It plans to enroll 330 participants.
- What's involved
- You would provide saliva/buccal and blood samples, undergo a clinical assessment, and complete neurocognitive assessments, questionnaires, and surveys.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, which measures chronic health conditions, will be assessed up to study completion.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
A Study to Learn More About the Health of Persons With Down Syndrome After Treatment for Acute Leukemia
At a glance
Conditions
Where it's being run
73 sites across 32 statesStudy leadership
- Maria M Gramatges · PRINCIPAL_INVESTIGATOR · Children's Oncology Group
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Prevalence, type, and severity of chronic health conditions (CHC)Up to study completion
Summary statistics will be used to characterize the study populations on CHC outcomes. Quantitative data (number of comorbidities) will be summarized using descriptive statistics and correlational techniques. Will use pooled logistic regression to estimate overall response, 95% confidence interval (CI), and p-values for association of acute leukemia (AL) diagnosis with medical record-verified CHC, agnostic of time to CHC. Will use stratified Cox models to refine associations of AL diagnosis with CHC based on time to CHC incidence. Within each age interval, will estimate the hazard ratio, 95% CI, and p-values to report time-dependent effects of AL diagnosis on CHC.