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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/185037
No Excess Mortality up to 10 Years in Early Stages of Breast Cancer in Women Adherent to Oral Endocrine Therapy: A Probabilistic Graphical Modeling Approach
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Breast 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.
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CLÈRIES SOLER, Ramon, BUXÓ, Maria, VILARDELL, Mireia, AMEIJIDE, Alberto, MARTÍNEZ, José miguel, FONT, Rebeca, MARCOS GRAGERA, Rafael, PUIGDEMONT, Montserrat, VIÑAS, Gemma, CARULLA, Marià, ESPINÀS PIÑOL, Josep alfons, GALCERAN, Jaume, IZQUIERDO I FONT, Àngel xavier, BORRÀS, Josep maria. No Excess Mortality up to 10 Years in Early Stages of Breast Cancer in Women Adherent to Oral Endocrine Therapy: A Probabilistic Graphical Modeling Approach. _International Journal of Environmental Research and Public Health_. 2022. Vol. 19, núm. 6. [consulta: 24 de gener de 2026]. ISSN: 1660-4601. [Disponible a: https://hdl.handle.net/2445/185037]