Clèries Soler, RamonBuxó, MariaVilardell, MireiaAmeijide, AlbertoMartínez, José MiguelFont, RebecaMarcos Gragera, RafaelPuigdemont, MontserratViñas, GemmaCarulla, MariàEspinàs Piñol, Josep AlfonsGalceran, JaumeIzquierdo i Font, Àngel XavierBorràs, Josep Maria2022-04-192022-04-192022-03-181660-4601https://hdl.handle.net/2445/185037Breast cancer (BC) is globally the most frequent cancer in women. Adherence to endocrine therapy (ET) in hormone-receptor-positive BC patients is active and voluntary for the first five years after diagnosis. This study examines the impact of adherence to ET on 10-year excess mortality (EM) in patients diagnosed with Stages I to III BC (N = 2297). Since sample size is an issue for estimating age- and stage-specific survival indicators, we developed a method, ComSynSurData, for generating a large synthetic dataset (SynD) through probabilistic graphical modeling of the original cohort. We derived population-based survival indicators using a Bayesian relative survival model fitted to the SynD. Our modeling showed that hormone-receptor-positive BC patients diagnosed beyond 49 years of age at Stage I or beyond 59 years at Stage II do not have 10-year EM if they follow the prescribed ET regimen. This result calls for developing interventions to promote adherence to ET in patients with hormone receptor-positive BC and in turn improving cancer survival. The presented methodology here demonstrates the potential use of probabilistic graphical modeling for generating reliable synthetic datasets for validating population-based survival indicators when sample size is an issue.17 p.application/pdfengcc by (c) Clèries Soler, Ramon et al, 2022http://creativecommons.org/licenses/by/3.0/es/Càncer de mamaEndocrinologiaBreast cancerEndocrinologyinfo:eu-repo/semantics/article7230212022-04-19info:eu-repo/semantics/openAccess35329292