Eur J Cancer

Autor: Carine Bellera, Catherine Thieblemont, Frédérique Rousseau, Sylvain Ladoire, Luc Thiberville, Mathilde Gisselbrecht, Jean Léon Lagrange, Merle Patrick, Hélène Nehme, Pascal Chaibi, Arnauld Villers, Erwan De Mones Del Pujol, Jean-Louis Bonnal, Pierre Feugier, Laeticia Stefani, Valérie Quipourt, Emmanuelle Bourbouloux, Audrey Mailliez, Valérie Le Brun-Ly, K. Leffondre, P. Soubeyran, Virginie Leroy, Brigitte Maget, Simone Mathoulin-Pélissier, Claire Falandry, Ludmilla Ribiere, Alain Ravaud, Florence Woerth, Nicolas Jovenin, Aurélien Minard, Matthieu Debray, Laurent Balardy, Matthieu Frasca, Gaelle Jeannin, Sandrine Lavau-Denes, Elisabeth Carola, Etienne Brain, Christian Gisselbrecht, Christian Rose, Serge Bologna, Laure de Decker, Olivier Rigal, Brigitte Comte, Muriel Rainfray, Philippe Caillet, Loic Mourey
Přispěvatelé: Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: European journal of cancer
European journal of cancer, 2018, 90, pp.10-18. ⟨10.1016/j.ejca.2017.11.013⟩
ISSN: 1879-0852
Popis: Introduction A comprehensive geriatric assessment (CGA) evaluating several domains of health is recommended for elderly patients with cancer. Effects of altered domains on the risk of death in this population need to be clarified. The aim of this study was to estimate the independent association of each CGA domain to overall survival (OS). Method Patients included in the ONCODAGE cohort completed a CGA at baseline. Cox models (one per domain) estimated the hazard ratio (HR) of death for each CGA domain. Directed Acyclic Graphs (DAGs) selected specific sets of adjustment factors for each model. Results The analysis included 1264 patients (mean age: 78 years, women: 70%). Median follow-up was 5.2 years, and 446 patients died. Each altered domain had a detrimental effect on survival, sometimes dependent on gender, age, education or time from inclusion. Nutritional status had a time-varying effect, with higher mortality rates if altered only within the first 3 years of follow-up. In case of altered mobility, the risk of death was higher only for the youngest patients and, in case of altered autonomy, only for the youngest women. An altered neurological state led to higher mortality rates; this effect increased with the level of education. Patients with altered psychological status or more than four comorbidities at baseline had also higher mortality rates. Conclusions Patients with an altered CGA domain have a higher risk of death than those without any alteration. The effect of some alterations is different in some subgroups or at a given time of the treatments.
Databáze: OpenAIRE
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