Evidence map›Paper›PMID 32853342›Full record

ArticleJournal of the National Cancer Institute2021

Personalizing Breast Cancer Screening Based on Polygenic Risk and Family History.

Jeroen J van den Broek, Clyde B Schechter, Nicolien T van Ravesteyn, A Cecile J W Janssens, Michael C Wolfson, Amy Trentham-Dietz, Jacques Simard, Douglas F Easton, Jeanne S Mandelblatt, Peter Kraft and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% of its field
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  4. Breast cancer polygenic risk score performance varies by socioeconomic status.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Awareness, knowledge, and attitudes toward polygenic risk scores for breast cancer in multiethnic high-risk cohorts of women.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Attitudes regarding polygenic risk testing for lung cancer: a mixed-methods study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  20. Article
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

11 authors at 9 institutions in 4 countries.

Jeroen J van den BroekDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Clyde B SchechterDepartments of Family and Social Medicine and Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Nicolien T van RavesteynDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
A Cecile J W JanssensDepartment of Epidemiology, Emory University, Atlanta, GA, USA.
Michael C WolfsonSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Amy Trentham-DietzCarbone Cancer Center and Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Jacques SimardDepartment of Medicine, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department Public Health, and Primary Care, University of Cambridge, Cambridge, UK.
Jeanne S MandelblattDepartment of Oncology, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University School of Medicine, Washington, DC, USA.
Peter KraftDepartment of Biostatistics and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harry J de KoningDepartment of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands.
Erasmus MC · NLAlbert Einstein College of Medicine · USEmory University · USGeorgetown University · USHarvard University · USUniversité Laval · CAUniversity of Cambridge · GBUniversity of Ottawa · CAUniversity of Wisconsin–Madison · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum - SupplementU01CA253911 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ALAGOZ, OGUZHAN, DE KONING, HARRY J · 2020 to 2025
$10.6M
Comparative Modeling: Informing Breast Cancer Control Practice and PolicyU01CA199218 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2015 to 2019
$9.0M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS U01 CA199218NCI NIH HHS U01 CA253911NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundWe assessed the clinical utility of a first-degree breast cancer family history and polygenic risk score (PRS) to inform screening decisions among women aged 30-50 years.

methodsTwo established breast cancer models evaluated digital mammography screening strategies in the 1985 US birth cohort by risk groups defined by family history and PRS based on 313 single nucleotide polymorphisms. Strategies varied in initiation age (30, 35, 40, 45, and 50 years) and interval (annual, hybrid, biennial, triennial). The benefits (breast cancer deaths averted, life-years gained) and harms (false-positive mammograms, overdiagnoses) were compared with those seen with 3 established screening guidelines.

resultsWomen with a breast cancer family history who initiated biennial screening at age 40 years (vs 50 years) had a 36% (model range = 29%-40%) increase in life-years gained and 20% (model range = 16%-24%) more breast cancer deaths averted, but 21% (model range = 17%-23%) more overdiagnoses and 63% (model range = 62%-64%) more false positives. Screening tailored to PRS vs biennial screening from 50 to 74 years had smaller positive effects on life-years gained (20%) and breast cancer deaths averted (11%) but also smaller increases in overdiagnoses (10%) and false positives (26%). Combined use of family history and PRS vs biennial screening from 50 to 74 years had the greatest increase in life-years gained (29%) and breast cancer deaths averted (18%).

conclusionsOur results suggest that breast cancer family history and PRS could guide screening decisions before age 50 years among women at increased risk for breast cancer but expected increases in overdiagnoses and false positives should be expected.

Indexed as

Family HealthPolymorphism, Single NucleotideAdultBreast NeoplasmsFalse Positive ReactionsFemaleHumansMammographyMass ScreeningMedical OveruseMiddle AgedModels, TheoreticalPractice Guidelines as TopicRiskTime Factors

Identifiers

PMID32853342
PMCPMC8599807
OpenAlexW3082543752

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.