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Models of care and associated targeted implementation strategies for cancer sur...

Prue, Gillian; Czamanski-Cohen, Johanna; Kassianos, Angelos P; Pilleron, Sophie; Ladas, Aristea; Can, Aysun Akcakaya; Roldán-Jiménez, Cristina

<jats:sec><jats:title>Introduction</jats:title><jats:p>Cancer and its treatments can lead to a wide range of side-effects that can persist long after treatments have ended. Across Europe, survivorship care is traditionally hospital-based specialist-led follow-up, leading to gaps in supportive care. Improved screening, diagnosis and treatment increase survival rates. With more individuals living with, through an...


Well‐being trajectories in breast cancer and their predictors: A machine‐learni...

Karademas, Evangelos; Mylona, Eugenia; Mazzocco, Ketti; Pat‐Horenczyk, Ruth; Sousa, Berta; Oliveira‐Maia, Albino J.; Oliveira, Jose; Roziner, Ilan

Objective:This study aimed to described istinct trajectories of anxiety/depression symptoms and overall health status/quality of life over a period of 18 months followinga breast cancer diagnosis,and identify the medical, socio-demographic,lifestyle, and psychologica lfactors that predict these trajectories.Methods:474 females (mean age=55.79 years) were enrolled in the first weeksafter surgery or biopsy. Data ...


Predicting effective adaptation to breast cancer to help women BOUNCE back: Pro...

Pettini, Greta; Sanchini, Virginia; Pat-Horenczyk, Ruth; Sousa, Berta; Masiero, Marianna; Marzorati, Chiara; Galimberti, Viviana Enrica

Background: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient’s sociodemographic and psychological characteristics as well as on the social environment in which a person liv...


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