Evidence map›Paper›PMID 39934544›Full record

ArticleBreast cancer research and treatment2025

Risk factors for interval breast cancer: insights from a decade of a mammography screening program.

Jonas Subelack, Rudolf Morant, Marcel Blum, Alena Eichenberger, Alexander Geissler, David Ehlig

Abstract read
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Article in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jonas SubelackChair of Health Economics, Policy and Management, School of Medicine, University of St.Gallen, St. Jakobstr. 21, 9000, St.Gallen, Switzerland. jonas.subelack@unisg.ch.ORCID http://orcid.org/0009-0007-4698-8877
Rudolf MorantCancer League of Eastern Switzerland, St.Gallen, Switzerland.
Marcel BlumChair of Health Economics, Policy and Management, School of Medicine, University of St.Gallen, St. Jakobstr. 21, 9000, St.Gallen, Switzerland.
Alena EichenbergerCancer League of Eastern Switzerland, St.Gallen, Switzerland.
Alexander GeisslerChair of Health Economics, Policy and Management, School of Medicine, University of St.Gallen, St. Jakobstr. 21, 9000, St.Gallen, Switzerland.
David EhligChair of Health Economics, Policy and Management, School of Medicine, University of St.Gallen, St. Jakobstr. 21, 9000, St.Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer remains a major global health issue, with mammography screening programs (MSPs) being critical for early detection to improve survival. Interval breast cancers (IBC) are an important quality criterion and have been linked with increased mortality. We aimed to identify risk factors for IBC diagnoses, based on MSP data.

methodsIn this retrospective cohort study, we merged data from the Swiss MSP "donna" with data from cancer registries from 2010 to 2019 to categorize cases as IBC or screen-detected breast cancer (SBC). We compared the incidence, tumor characteristics, and survival proportions of women with IBC versus SBC. We used a multivariable Poisson regression with robust errors to identify risk factors for IBC diagnoses.

resultsWe identified 1134 breast cancer cases, specifically 251 IBC and 883 SBC. The 7-year survival proportions significantly deviated with 92.9% for women with IBC and 96.4% for women with SBC (p < 0.05). Women with IBC are diagnosed with significantly higher tumor stages (p < 0.05) and have a worse tumor biology in multiple dimensions e.g. larger tumor size or more often triple negative (p < 0.05). Higher breast density (BI-RADS d risk ratio (RR): 3.293), certain age groups (55-59 years RR: 1.345), and a family breast cancer history (RR: 1.299) were identified as significant (p < 0.05) risk factors for IBC diagnoses.

conclusionsWomen with IBC had lower overall survival proportions than women with SBC, possibly due to higher stages at diagnosis. Increased breast density and a positive family history of breast cancer could encourage MSPs to personalize their screening process (e.g. additional diagnostics).

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyAdultAgedFemaleHumansIncidenceMass ScreeningMiddle AgedRegistriesRetrospective StudiesRisk FactorsSwitzerlandBreast cancerInterval breast cancerInterval cancerInterval carcinomaMammography screening programRisk factors

Identifiers

PMID39934544
PMCPMC11953226

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.