2026-04-17T17:34:45Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/217602024-06-18T12:42:03Zcom_2072_452955com_2072_2054col_2072_453079

00925njm 22002777a 4500 dc Clèries, Ramon author Buxó Pujolràs, Maria author Vilardell, Mireia author Ameijide, Alberto author Martínez, José Miguel author Font, Rebeca author Marcos-Gragera, Rafael author Puigdemont, Montserrat author Viñas, Gemma author Carulla, Marià author Espinàs, Josep Alfons author Galceran, Jaume author Izquierdo i Font, Àngel Xavier author Borràs, Josep M. author 2022-03-18 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 This work was supported by Instituto de Salud Carlos III PI18/01836 funded by FEDER funds/European Regional Development Fund (ERDF)-a way to Build Europe-//FONDOS FEDER “una manera de hacer Europa” http://hdl.handle.net/10256/21760 Mama -- Càncer -- Tractament Breast -- Cancer -- Treatment Mama -- Càncer -- Hormonoteràpia Breast -- Cancer -- Hormone therapy Modelització gràfica (Estadística) Graphical modeling (Statistics) Mama -- Càncer -- Mortalitat Breast -- Cancer -- Mortality 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