Endocrine Therapy-Induced Alopecia in Postmenopausal and Premenopausal Female Breast Cancer Patients
At a glance
Conditions
Where it's being run
23 sites across 1 statesStudy leadership
- Elizabeth Cathcart-Rake, M.D. · PRINCIPAL_INVESTIGATOR · Mayo Clinic in Rochester
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
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What this trial measures
- Estimation and characterization of patient-reported treatment-emergent alopecia within and across the cohortsUp to study completion; up to two years
Exact 95% confidence intervals will be created within each cohort and compared graphically using forest plots. Plots of alopecia incidence rates and severity will be plotted over time by cohort.
- Overall impact on patient's quality of lifeUp to study completion; up to two years
Descriptive summaries of all the questions on the baseline and follow-up questionnaires will be tabulated to facilitate our understanding of patient-experienced alopecia and to provide a comprehensive picture of how alopecia is treated, as well as to quantify the overall impact on patient's quality of life. Standardized differences will be computed in order to give a common metric for all variables. The largest standardized difference between the pairwise cohorts will be reported.
- Incidence rate of treatment-emergent alopeciaUp to study completion; up to two years
A cumulative incidence function will be estimated in order to calculate the cumulative incidence rate (i.e. time to initial onset) of treatment-emergent alopecia, treating death and disease progression as competing risks for each cohort. Cox proportional hazards models will be used to compare differences between treatment-emergent alopecia risk between the control cohort (n=20) and the combined treatment cohorts (n = 80). The covariates included in the regression model will include age (years) and alopecia scores at baseline.
- Risk of treatment-emergent alopeciaUp to study completion; up to two years
A longitudinal analysis will be used for the binary response of whether the patient experiences treatment-emergent alopecia; this mixed model will contain an interaction between control versus treatment cohort and time, both as categorical variables, and a random intercept and slope by patient. The above covariates will also be adjusted for and piecewise splices will be used to account for any nonlinearity. The goal of the longitudinal analysis is to explore whether the risk of treatment-emergent alopecia increases with endocrine therapy exposure over time and whether this risk differs between cohorts.