Evidence map›Paper›PMID 42303831›Full record

SynthesisBritish journal of cancer2026

Breast cancer incidence and mortality in population studies of radiation exposure: systematic review and meta-analysis.

Ekaterina Chirikova, Cecile M Ronckers, Mark P Little, Emma Quinn, Brittany Liu, Richard Hu, Mayela T Gillan, Brianna Frangione, Tarek Benzouak, Tanvi Srivastava and 1 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ekaterina ChirikovaDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA. ekaterina.chirikova@ucsf.edu.ORCID http://orcid.org/0000-0001-9801-1733
Cecile M RonckersDivision of CAYA Cancer Survivorship Research, German Cancer Research Center, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-3524-4657
Mark P LittleFeinberg School of Medicine, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0003-0980-7567
Emma QuinnOncology Department, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Brittany LiuDepartment of Radiation Oncology, Helen Diller Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
Richard HuDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Mayela T GillanEnvironmental Health Sciences Division, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Brianna FrangioneDepartment of Neuroscience, Carleton University, Ottawa, ON, Canada.
Tarek BenzouakFaculty of Medicine, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-0310-2278
Tanvi SrivastavaDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Lydia B ZablotskaDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0778-1108

Funding

Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
UCSF Data Science Training to Advance Behavioral and Social Science Expertise for Health Research (DaTABASE) ProgramT32MD015070 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI William Brown III, Yulin Hswen · 2020 to 2026
$1.7M
NIA NIH HHS T32 AG049663NIMHD NIH HHS T32 MD015070NIOSH CDC HHS T42 OH008429U.S. Department of Health & Human Services | CDC | National Institute for Occupational Safety and Health (NIOSH) T42OH008429U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) T32AG049663U.S. Department of Health & Human Services | NIH | National Institute on Minority Health and Health Disparities (NIMHD) T32MD015070
6 · The paper itself

Abstract

backgroundWhile breast cancer risk from high-dose ionising radiation is known, uncertainties remain about risks at lower doses and risk-modifying factors. We conducted a systematic review and meta-analysis of publications on radiation-associated risk of breast cancer in women.

methodsWe included studies published in 2005-2022 that assessed breast cancer incidence or mortality in women exposed to ionising radiation. Risk of bias was evaluated. Random-effects meta-analyses estimated excess relative risks per gray (ERR/Gy).

resultsOf the 3522 articles screened, 106 met the inclusion criteria; 40 studies provided 44 ERR/Gy estimates. Overall, radiation exposure was associated with increased breast cancer risk (ERR/Gy = 0.56, 95% CI: 0.29-0.83). Between-study heterogeneity (I

conclusionsRadiation exposure was associated with a significantly increased risk of breast cancer among women, particularly following high dose-rates, moderate doses, childhood exposures, and older attained age. PROSPERO registration: CRD42021260610.

Indexed as

Breast NeoplasmsNeoplasms, Radiation-InducedRadiation ExposureFemaleHumansIncidenceRisk Factors

Identifiers

PMID42303831
PMCPMC13534715

What OpenQuestion holds

Textmetadata
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.