Evidence map›Paper›PMID 42482851›Full record

ArticleFrontiers in health services2026

Implementing polygenic risk-based breast cancer screening across European health systems: insights from the BRIGHT project.

Mario Del Vicario, Luciana Pons Muzzo, Kellie Harkin, Roger Marginet I Assens, Tiwatayo Lasebikan, Neeme Tõnisson, Peeter Padrik, Inna Feldman, Filipa Sampaio, Luis Costa and 5 more

Abstract read
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Mario Del VicarioIESE Business School.
Luciana Pons MuzzoIESE Business School.
Kellie HarkinIESE Business School.
Roger Marginet I AssensIESE Business School.
Tiwatayo LasebikanIESE Business School.
Neeme TõnissonInstitute of Genomics, University of Tartu, Tartu, Estonia.
Peeter PadrikOÜ Antegenes, Tartu, Estonia.
Inna FeldmanRegion Uppsala, Uppsala, Sweden.
Filipa SampaioRegion Uppsala, Uppsala, Sweden.
Luis CostaDepartment of Oncology, Unidade Local de Saúde Santa Maria, Clinical Research Center - Lisbon Medical Academic Center, Lisbon, Portugal.
Gonçalo Nogueira-CostaDepartment of Oncology, Unidade Local de Saúde Santa Maria, Clinical Research Center - Lisbon Medical Academic Center, Lisbon, Portugal.
Madli TammInstitute of Genomics, University of Tartu, Tartu, Estonia.
Krista Kruuv-KäoOÜ Antegenes, Tartu, Estonia.
Laetitia PaumardIESE Business School.
Magda RosenmöllerIESE Business School.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Polygenic risk scores (PRS) offer a novel means of stratifying breast cancer risk, with the potential to personalize screening protocols and measures, and thus improve early detection. However, their implementation in real-world settings remains poorly understood. This study, as part of the BRIGHT project, investigates how PRS-based breast cancer screening is being piloted, adapted, and resisted across five European countries, Estonia, Portugal, Spain, Sweden, and France, drawing on a combination of implementation science and business model theory. Methods: We employed a multiple-case study approach, conducting 94 semi-structured interviews with stakeholders across healthcare, policy, industry, and civil society. Analysis was guided by the Value-Information-Process (VIP) framework and complemented by selected constructs from the Consolidated Framework for Implementation Research (CFIR). Data were coded thematically and triangulated with national policy documents, pilot evaluations, and stakeholder workshops. Results: Implementation trajectories varied significantly across contexts. Estonia demonstrated advanced policy-driven integration enabled by digital infrastructure and centralized governance. Sweden and Spain followed pilot-to-policy models, with strong regional autonomy but slower national uptake. Portugal exhibited market-led adoption driven by private sector innovation, while France pursued a trial-first logic centered on MyPeBS. Common barriers included limited clinical guidelines, low genetic literacy among frontline providers, fragmented IT systems, and slow and unclear Health Technology Assessment (HTA) cycles. Key facilitators included strong institutional alignment, biobank-linked infrastructures, and public trust in preventive care. Discussion: Successful PRS implementation requires more than scientific validation; it depends on systemic readiness across value narratives, information systems, and governance processes. PRS-based screening thus serves as a test case for the broader challenge of integrating personalized genomics into public health. Findings offer strategic guidance for policymakers, clinicians, and researchers designing future-ready prevention pathways.

Indexed as

breast cancer screeningbusiness modelsdigital health infrastructuregenomic medicinehealth technology assessmentimplementation sciencepersonalized preventionpolygenic risk score (PRS)

Identifiers

PMID42482851
PMCPMC13384948

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.