Impact of the Area of Residence of Ovarian Cancer Patients on Overall Survival.
Fiche publication
Date publication
décembre 2022
Journal
Cancers
Auteurs
Membres identifiés du Cancéropôle Est :
Pr AKLADIOS Chérif
Tous les auteurs :
Jochum F, Hamy AS, Gaillard T, Lecointre L, Gougis P, Dumas É, Grandal B, Feron JG, Laas E, Fourchotte V, Girard N, Pauly L, Osdoit M, Gauroy E, Darrigues L, Reyal F, Akladios C, Lecuru F
Lien Pubmed
Résumé
Survival disparities persist in ovarian cancer and may be linked to the environments in which patients live. The main objective of this study was to analyze the global impact of the area of residence of ovarian cancer patients on overall survival. The data were obtained from the Surveillance, Epidemiology and End Results (SEER) database. We included all the patients with epithelial ovarian cancers diagnosed between 2010 and 2016. The areas of residence were analyzed by the hierarchical clustering of the principal components to group similar counties. A multivariable Cox proportional hazards model was then fitted to evaluate the independent effect of each predictor on overall survival. We included a total of 16,806 patients. The clustering algorithm assigned the 607 counties to four clusters, with cluster 1 being the most disadvantaged and cluster 4 having the highest socioeconomic status and best access to care. The area of residence cluster remained a statistically significant independent predictor of overall survival in the multivariable analysis. The patients living in cluster 1 had a risk of death more than 25% higher than that of the patients living in cluster 4. This study highlights the importance of considering the sociodemographic factors within the patient's area of residence when developing a care plan and follow-up.
Mots clés
area of residence, hierarchical cluster algorithm, ovarian cancer, sociodemographic factor
Référence
Cancers (Basel). 2022 12 4;14(23):