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Updated: May 30, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Evaluating patients on CDK-4/6 inhibitor treatment for differences in treatment according to demographic variables
Sneha Rajendran1, Marina Petruzzi2, Dianxu Ren3
1Department of Hematology/Oncology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Background:
The accessibility and outcomes of cyclin-dependent kinase 4 and 6 inhibitors (CDKi) in metastatic breast cancer (MBC) according to demographic factors are unknown.
Research Design And Methods:
Retrospective review of patients with ER+ MBC prescribed first-line CDKi therapy from January 2015 through December 2022. Abstraction included time from CDKi prescription to drug initiation (TTI), time from CDKi initiation to progression (TTP), time from CDKi initiation to death or 6/30/2022, and variables (age, race, partner status, insurance type, BMI, number of comorbidities). Descriptive, comparative, and correlational statistics are used.
Results:
N = 173 patients. No significant demographic differences in TTI or TTP. In the multivariate model TTI to death, patients with Medicaid insurance had significantly shorter overall survival than patients with private insurance.
Conclusions:
Medicaid insurance is associated with worse outcomes of MBC therapy, not attributed to TTI delay. Personalization of support may be helpful.
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