6533b835fe1ef96bd129ff55

RESEARCH PRODUCT

The influence of socio-economic and surveillance characteristics on breast cancer survival: a French population-based study.

Arlette DanzonPatrick ArveuxPascale GrosclaudeMichel VeltenGilles ChaplainMarc ColonnaFranck BonnetainJulie Gentil-brevet

subject

OncologyCancer ResearchEpidemiologyMESH : AgedMESH : Breast NeoplasmsLogistic regressionsurvival analysis0302 clinical medicineMESH: Aged 80 and overMESH : Population SurveillanceMESH : Socioeconomic FactorsMedicineMESH : Female030212 general & internal medicineAged 80 and overMESH: AgedMESH: Middle Agedmedicine.diagnostic_testCarcinoma Ductal Breast[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: European Continental Ancestry GroupMESH: Follow-Up StudiesMiddle AgedMESH : AdultMESH : Survival Rate3. Good healthSurvival RateOncology030220 oncology & carcinogenesisPopulation SurveillanceFemalemass screeningAdultmedicine.medical_specialtyMESH: Socioeconomic FactorsMESH: Survival RatemammographyMESH: MammographyBreast NeoplasmsWhite PeopleMESH: Population SurveillanceMESH : European Continental Ancestry Group03 medical and health sciencesBreast cancerbreast neoplasmInternal medicineMammographyHumansMESH : MammographyMESH : Middle AgedMESH: Mass ScreeningMESH : Aged 80 and overSurvival rateMass screeningSurvival analysisAgedGynecologyMESH : Mass ScreeningMESH: Humansbusiness.industryProportional hazards modelMESH : HumansMESH : Carcinoma Ductal BreastCancerMESH: AdultMESH : Follow-Up Studiesmedicine.diseaseMESH: Carcinoma Ductal BreastSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologiesocio-economic factors[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleMESH: Breast NeoplasmsFollow-Up Studies

description

International audience; Survival data on female invasive breast cancer with 9-year follow-up from five French cancer registries were analysed by logistic regression for prognostic factors of cancer stage. The Kaplan-Meier method and log-rank test were used to estimate and compare the overall survival probability at 5 and 7 years, and at the endpoint. The Cox regression model was used for multivariate analysis. County of residence, age group, occupational status, mammographic surveillance, gynaecological prevention consultations and the diagnosis mammography, whether within a screening framework or not, were independent prognostic factors of survival. Moreover, for the same age group, and only for cancers T2 and/or N+ (whether 1, 2 or 3) and M0, the prognosis was significantly better when the diagnosis mammography was done within the framework of screening. Socio-economic and surveillance characteristics are independent prognostic factors of both breast cancer stage at diagnosis and of survival. Screening mammography is an independent prognostic factor of survival.

http://www.hal.inserm.fr/inserm-00332713