Evidence map›Paper›PMID 39538280›Full record

ArticleBMC cancer2024

Exploring educational disparities in breast cancer dynamics: a comprehensive analysis of incidence, death within 5 years of diagnosis, and mortality in the Belgian context.

Joachim Gotink, Michael Rosskamp, Geert Silversmit, Freija Verdoodt, Sylvie Gadeyne

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Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joachim GotinkVrije Universiteit Brussel, Brussels, Belgium. Joachim.Gotink@vub.be.
Michael RosskampBelgian Cancer Registry, Brussels, Belgium.
Geert SilversmitBelgian Cancer Registry, Brussels, Belgium.
Freija VerdoodtBelgian Cancer Registry, Brussels, Belgium.
Sylvie GadeyneVrije Universiteit Brussel, Brussels, Belgium.

Funding

Fonds Wetenschappelijk Onderzoek FWOAL8866
6 · The paper itself

Abstract

backgroundBreast cancer is the most prevalent cancer worldwide. Belgium shows high age-standardized incidence rates, but also high survival rates. Like many health outcomes, breast cancer has been associated with multiple factors of socioeconomic status. This paper aims to (a) map educational differences in breast cancer incidence, mortality and death rates within 5 years of diagnosis, (b) update earlier trends in breast cancer mortality rates in Belgium for the 2004-2013 period and (c) investigate the role of fertility indicators as mediating factors in the association between education and breast cancer outcomes.

methodsData consisted of a linkage between the 2001 Belgian Census, register data on mortality and cancer incidence data (2004-2013) from the Belgian Cancer Registry. We calculated age standardized rates, rate ratios (Poisson regression) and hazard ratios (Cox regression) and furthermore also applied the method of Excess Portion Eliminated (EPE) in a mediation analysis of the fertility indicators. We stratified our analysis by age: younger than 50 (premenopausal) and 50 or older (postmenopausal).

resultsWe observed striking differences in breast cancer incidence, all-cause and cause-specific death rates 5-years after diagnosis by educational level. Higher educated women had higher breast cancer incidence, but also lower all-cause and lower cause-specific death rates; adding up to zero differences in breast cancer mortality in the postmenopausal group and lower breast cancer mortality in the premenopausal group.

conclusionA notable shift in the social gradient occurred since the 1990's, favouring higher-educated women in recent years. Especially, with regards to survival after diagnosis there is potential for policy intervention. Stage at diagnosis played a crucial role, but differences between socioeconomic groups remained significant after including this parameter. While fertility indicators played a role, the impact was less pronounced than expected.

Indexed as

Breast NeoplasmsEducational StatusAdultAgedBelgiumFemaleHumansIncidenceMiddle AgedRegistriesSocial ClassSocioeconomic FactorsSurvival RateBreast cancerDeath after diagnosisFertility indicatorsIncidenceMortalityPopulation studySurvival

Identifiers

PMID39538280
PMCPMC11562307

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