Evidence map›Paper›PMID 39419524›Full record

ArticleJournal of epidemiology and community health2024

Burden of postmenopausal breast cancer attributable to excess body weight: comparative study of body mass index and CUN-BAE in MCC-Spain study.

Naiara Cubelos-Fernández, Verónica Dávila-Batista, Tania Fernández-Villa, Gemma Castaño-Vinyals, Beatriz Perez-Gomez, Pilar Amiano, Eva Ardanaz, Irene Delgado Sillero, Javier Llorca, Guillermo Fernández Tardón and 11 more

Abstract readComparative Study
In one paragraph

Article in Journal of epidemiology and community health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

21 authors.

Naiara Cubelos-FernándezGene-Environment Interactions and Health Research Group (GIIGAS), University of León Institute of Biomedicine, Leon, Spain.
Verónica Dávila-BatistaConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain veronica.davila@ulpgc.es.ORCID http://orcid.org/0000-0001-8888-395X
Tania Fernández-VillaConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Gemma Castaño-VinyalsConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Beatriz Perez-GomezConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.ORCID http://orcid.org/0000-0002-4299-8214
Pilar AmianoConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Eva ArdanazConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Irene Delgado SilleroGene-Environment Interactions and Health Research Group (GIIGAS), Institute of Biomedicine (IBIOMED), University of León, Leon, Spain.
Javier LlorcaConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.ORCID http://orcid.org/0000-0001-8569-861X
Guillermo Fernández TardónConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Juan AlguacilConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Mercedes Vanaclocha EspíCancer and Public Health, FISABIO, Valencia, Spain.ORCID http://orcid.org/0000-0002-7202-2861
Rafael Marcos-GrageraConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.ORCID http://orcid.org/0000-0001-9824-3657
Víctor MorenoConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Nuria AragonesConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Ane DorronsoroSub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, Donosti-San Sebastian, Spain.
Marcela GuevaraConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Sofía Reguero CeladaGerencia de Atencion Primaria, Área de Salud de León, Leon, Spain.
Marina PollanConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Manolis KogevinasConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.
Vicente MartínConsortium for Biomedical Research in Epidemiology and Public Health, CIBERESP, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background10% of postmenopausal breast cancer cases are attributed to a high body mass index (BMI). BMI underestimates body fat, particularly in older women, and therefore the cancer burden attributable to obesity may be even higher. However, this is not clear. CUN-BAE (Clínica Universidad de Navarra-Body Adiposity Estimator) is an accurate validated estimator of body fat, taking into account sex and age. The objective of this study was to compare the burden of postmenopausal breast cancer attributable to excess body fat calculated using BMI and CUN-BAE.

methodsThis case-control study included 1033 cases of breast cancer and 1143 postmenopausal population controls from the multicase-control MCC-Spain study. Logistic regression models were used to calculate odds ratios (ORs). The population attributable fraction (PAF) of excess weight related to breast cancer was estimated with both anthropometric measures. Stratified analyses were carried out for hormone receptor type.

resultsExcess body weight attributable to the risk of breast cancer was 23.0% when assessed using a BMI value ≥30 kg/m

conclusionThese findings suggest that the significance of excess body fat in postmenopausal hormone receptor positive breast cancer could be underestimated when assessed using only BMI. Accurate estimation of the cancer burden attributable to obesity is crucial for planning effective prevention initiatives.

Indexed as

Body Mass IndexBreast NeoplasmsObesityPostmenopauseAdiposityAgedCase-Control StudiesFemaleHumansMiddle AgedOverweightRisk FactorsSpainBREAST NEOPLASMSHEALTH IMPACT ASSESSMENTOBESITY

Identifiers

PMID39419524
PMCPMC11671986

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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 OpenQuestion graph.