Socioeconomic and demographic disparities in breast cancer stage at presentation and survival in Switzerland

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Ressource 1Télécharger: IACR2017_BreastCancerNICER_surv (002).pdf (94.37 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_2156F428EB8A
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Sous-type
Abstract (résumé de présentation): article court qui reprend les éléments essentiels présentés à l'occasion d'une conférence scientifique dans un poster ou lors d'une intervention orale.
Collection
Publications
Institution
Titre
Socioeconomic and demographic disparities in breast cancer stage at presentation and survival in Switzerland
Titre de la conférence
International Association of Cancer Registries, October 17-19, Utrecht, The Netherlands, 2017.
Auteur⸱e⸱s
Feller A., Schmidlin K., Bordoni A., Bouchardy C., Bulliard JC., Camey B., Konzelmann I., Maspoli M., Wanner M., Clough-Gorr K.
Statut éditorial
Publié
Date de publication
2017
Langue
anglais
Résumé
A major goal of health care systems is to improve health equally in all groups of the population. However, socioeconomic and socio-demographic health inequalities in breast cancer (BC) detection and survival have been observed in many countries.
Methods : We explored socioeconomic and socio-demographic disparities in BC stage at presentation and survival in female BC patients from population-based cancer registries anonymously linked to the Swiss National Cohort (SNC). Tumour stage was classified according to SEER summary stage (in situ/localized/regional/distant). We used highest education level attained from the SNC to characterize socioeconomic position (SEP) in 3 levels (low/middle/high). Further characteristics included in the analyses were age, living in a canton with organized mammography screening (yes/no), civil status and Swiss nationality. We used ordered logistic regression models to analyse factors associated with BC stage at presentation and competing risk regression models for factors associated with death from BC.
Création de la notice
10/01/2019 14:56
Dernière modification de la notice
20/08/2019 13:57
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