Evidence map›Paper›PMID 36214783›Full record

ArticleInternational journal of cancer2023

Breast density and risk of breast cancer.

Elsebeth Lynge, Ilse Vejborg, Martin Lillholm, Mads Nielsen, George Napolitano, My von Euler-Chelpin

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  11. Precision Prevention Studies: A Targeted Approach to Cancer Prevention.Cancer prevention research (Philadelphia, Pa.) · 2025
    Review
  12. Breast Density Changes after Risk-Reducing Salpingo-oophorectomy in Women with a Pathogenic Germline Variant in BRCA1 or BRCA2.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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  18. Breast cancer screening for transgender individuals with breast cancer susceptibility genes.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
  19. Article
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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

6 authors at 2 institutions in 1 country.

Elsebeth LyngeNykøbing Falster Hospital, University of Copenhagen, Nykøbing Falster, Denmark.ORCID 0000-0003-4785-5236
Ilse VejborgDepartment of Breast Examinations, Copenhagen University Hospital Gentofte, Copenhagen, Denmark.
Martin LillholmDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Mads NielsenDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.
George NapolitanoDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1197-2599
My von Euler-ChelpinDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKGentofte Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early studies reported a 4- to 6-fold risk of breast cancer between women with extremely dense and fatty breasts. As most early studies were case-control studies, we took advantage of a population-based screening program to study density and breast cancer incidence in a cohort design. In the Capital Region, Denmark, women aged 50 to 69 are invited to screening biennially. Women screened November 2012 to December 2017 were included, and classified by BI-RADS density code, version 4, at first screen after recruitment. Women were followed up for incident breast cancer, including ductal carcinoma in situ (DCIS), to 2020 in nationwide pathology data. Rate ratios (RRs) and 95% confidence intervals (CI) were compared across density groups using Poisson-regression. We included 189 609 women; 1 067 282 person-years; and 4110 incident breast cancers/DCIS. Thirty-three percent of women had BI-RADS density code 1; 38% code 2; 24% code 3; 4.7% code 4; and missing 0.3%. Using women with BI-RADS density code 1 as baseline; women with code 2 had RR 1.69 (95% CI 1.56-1.84); women with code 3, RR 2.06 (95% CI 1.89-2.25); and women with code 4, RR 2.37 (95% CI 1.05-2.74). Results differed between observations accumulated during screening and above screening age. Our results indicated less difference in breast cancer risk across level of breast density than normally stated. Translated into absolute risk of breast cancer after age 50, we found a 6.2% risk for the one-third of women with lowest density, and 14.7% for the 5% of women with highest density.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingBreast DensityEarly Detection of CancerFemaleHumansMammographybreast cancerbreast densitycohort studyscreening

Identifiers

PMID36214783
PMCPMC10091988
OpenAlexW4304014127

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.