Evidence map›Paper›PMID 41972953›Full record

ArticleJournal of medical screening2026

Real-world impact of organised mammography screening on breast cancer mortality: A population-based case-control study.

Brunella Frammartino, Carlotta Buzzoni, Diego Iemmi, Danilo Cereda, Marco Zappa, Antonio Giampiero Russo

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Article in Journal of medical screening, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Brunella FrammartinoEpidemiology Unit, Agency for Health Protection of the Metropolitan City of Milan, Milan, Italy.ORCID 0009-0002-6940-7629
Carlotta BuzzoniEpidemiology Unit, Agency for Health Protection of the Metropolitan City of Milan, Milan, Italy.ORCID 0009-0005-0608-0616
Diego IemmiEpidemiology Unit, Agency for Health Protection of the Metropolitan City of Milan, Milan, Italy.ORCID 0009-0005-8083-0446
Danilo CeredaDG Welfare Lombardy Region, Milan, Italy.ORCID 0000-0001-5945-5710
Marco ZappaEpidemiologist, Independent Consultancy, Florence, Italy.
Antonio Giampiero RussoEpidemiology Unit, Agency for Health Protection of the Metropolitan City of Milan, Milan, Italy.ORCID 0000-0002-5681-5861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo investigate the real-world impact of organised mammography screening on breast cancer mortality in metropolitan areas with widespread opportunistic imaging.MethodsWe conducted a population-based incidence-density case-control study among women aged 50-74 years resident in Milan, Italy. We matched 900 breast cancer deaths (diagnosed 2008-2022; died 2012-2023) to 3600 controls by age (±3 months), postcode and citizenship. Individual screening histories were reconstructed by deterministic linkage across five administrative databases. Conditional logistic regression estimated odds ratios (ORs) for breast cancer death by invitation and participation. Opportunistic mammography was modelled, and self-selection bias was corrected using a factor of 1.28.ResultsInvitation was associated with lower mortality (adjusted OR 0.71, 95% CI 0.58-0.85). Participation in at least one programme screen yielded an adjusted OR of 0.44 (0.36-0.52), which attenuated to 0.64 (0.53-0.77) after self-selection correction. Adjustment for opportunistic mammography had minimal impact on programme estimates.ConclusionsIn a large metropolitan setting characterised by intensive opportunistic imaging, organised screening confers a significant mortality reduction, chiefly among participants. Policies discouraging opportunistic substitution and enhancing adherence may increase population benefit.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyMass ScreeningAgedCase-Control StudiesFemaleHumansItalyMiddle AgedBreast cancercancer mortalitycase–control studymammographyopportunistic screeningorganised screeningreal-world evidenceself-selection biasurban health

Identifiers

PMID41972953
PMCPMC13490665

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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.