Journal Article

Predicting adjuvant endocrine therapy initiation and adherence among older women with early-stage breast cancer

Keim-Malpass, Jessica, Anderson, Roger T., Meneveau, Max O., Camacho, T. Fabian, Showalter, Shayna L.

2020

Overview

Purpose The CALGB 9343 trial demonstrated that women age 70 or older with early-stage, estrogen receptor positive (ER +) breast cancer (BC) may safely forgo radiation therapy (RT) and be treated with breast conserving surgery followed by adjuvant endocrine therapy (AET) alone. However, most patients in this population still undergo RT in part because AET adherence is low. We sought to develop a predictive model for AET initiation and adherence in order to improve decision-making with respect to RT omission. Methods Women ages 70 and older with early-stage, ER + BC were identified using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Comorbidities, socioeconomic measures, prescription medications, and demographics were collected as potential predictors. Bivariate analysis was performed to identify factors associated with AET initiation and adherence. Stepwise selection of significant predictors was used to develop logistic regression classifiers for initiation and adherence. Model performance was evaluated using the c-statistic and other measures. Results 11,037 patients met inclusion criteria. Within the cohort, 8703 (78.9%) patients initiated AET and 6685 (60.6%) were adherent to AET over 1 year. Bivariate predictors of AET initiation were similar to predictors of adherence. The best AET initiation and adherence classifiers were poorly predictive with c-statistics of 0.65 and 0.60, respectively. Conclusions The best models in the present study were poorly predictive, demonstrating that the reasons for initiation and adherence to AET are complex and individual to the patient, and therefore difficult to predict. Initiation and adherence to AET are important factors in decision-making regarding whether or not to forgo adjuvant RT. In order to better formulate treatment plans for this population, future work should focus on improving individual prediction of AET initiation and adherence.

• Publisher: Springer US,Springer,Springer Nature B.V
• Subject: Adjuvant treatment / Analysis / Breast cancer / Cancer / Cancer research / Clinical Trial / Comorbidity / Decision making / Demography / Drugs / Endocrine therapy / Epidemiology / Estrogen / Estrogen receptors / Lumpectomy / Medical research / Medicine / Medicine & Public Health / Medicine, Experimental / Oncology / Patient compliance / Patients / Prediction models / Prescribing / Radiation therapy / Radiotherapy / Statistical analysis / Surgery / Women