Evidence map›Paper›PMID 37402868›Full record

ArticleBritish journal of cancer2023

Diabetes mellitus and risk of breast cancer: a large-scale, prospective, population-based study.

Fanxiu Xiong, Jingxuan Wang, Jovia L Nierenberg, Erin L Van Blarigan, Stacey A Kenfield, June M Chan, Gabriela Schmajuk, Chiung-Yu Huang, Rebecca E Graff

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Diabetes and cancer: glucose control impact on survival and tumor outcomes.Reviews in endocrine & metabolic disorders · 2026
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  14. Associations between Diabetes Mellitus and Selected Cancers.International journal of molecular sciences · 2024
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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

9 authors at 2 institutions in 1 country.

Fanxiu XiongDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Jingxuan WangDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Jovia L NierenbergDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Erin L Van BlariganDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-5079-3385
Stacey A KenfieldDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1585-7352
June M ChanDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7620-569X
Gabriela SchmajukDivision of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Chiung-Yu HuangDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Rebecca E GraffDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA. Rebecca.Graff@ucsf.edu.ORCID 0000-0003-0316-8303
University of California, San Francisco · USSan Francisco VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to evaluate associations of diabetes overall, type 1 diabetes (T1D), and type 2 diabetes (T2D) with breast cancer (BCa) risk.

methodsWe included 250,312 women aged 40-69 years between 2006 and 2010 from the UK Biobank cohort. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were calculated for associations of diabetes and its two major types with the time from enrollment to incident BCa.

resultsWe identified 8182 BCa cases during a median follow-up of 11.1 years. We found no overall association between diabetes and BCa risk (aHR = 1.02, 95% CI = 0.92-1.14). When accounting for diabetes subtype, women with T1D had a higher risk of BCa than women without diabetes (aHR = 1.52, 95% CI = 1.03-2.23). T2D was not associated with BCa risk overall (aHR = 1.00, 95% CI = 0.90-1.12). However, there was a significantly increased risk of BCa in the short time window after T2D diagnosis.

conclusionsThough we did not find an association between diabetes and BCa risk overall, an increased risk of BCa was observed shortly after T2D diagnosis. In addition, our data suggest that women with T1D may have an increased risk of BCa.

Indexed as

Breast NeoplasmsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansProspective StudiesRisk Factors

Identifiers

PMID37402868
PMCPMC10421865
OpenAlexW4383092945

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.