Evidence map›Paper›PMID 34817770›Full record

ArticleCancer causes & control : CCC2022

Differences in breast cancer-risk factors between screen-detected and non-screen-detected cases (MCC-Spain study).

Marta Hernández-García, Ana Molina-Barceló, Mercedes Vanaclocha-Espi, Óscar Zurriaga, Beatriz Pérez-Gómez, Nuria Aragonés, Pilar Amiano, Jone M Altzibar, Gemma Castaño-Vinyals, María Sala and 9 more

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

19 authors.

Marta Hernández-GarcíaCancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain.
Ana Molina-BarcelóCancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain. molina_anabar@gva.es.ORCID http://orcid.org/0000-0001-5113-6475
Mercedes Vanaclocha-EspiCancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain.
Óscar ZurriagaPreventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, University of Valencia, Avda. Vicent Andrés Estellés, s/n, 46100, Burjassot, Valencia, Spain.
Beatriz Pérez-GómezSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Nuria AragonésSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Pilar AmianoSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Jone M AltzibarEpidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, Doctor Begiristain, s/n, 20014, San Sebastián, Spain.
Gemma Castaño-VinyalsSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
María SalaIMIM (Hospital del Mar Medical Research Institute), Doctor Aiguader 88, 08003, Barcelona, Spain.
María EderraSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Vicente MartínSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Inés Gómez-AceboSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Carmen VidalSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Adonina TardónSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Rafael Marcos-GrageraSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Marina PollánSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Manolis KogevinasSpanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Dolores SalasCancer and Public Health Area, Foundation for the Promotion of Health and Biomedical Research of Valencia Region(FISABIO), Avda. Catalunya 21, 46020, Valencia, Spain.

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2014SGR647Agència de Gestió d'Ajuts Universitaris i de Recerca 2014SGR850Agència de Gestió d'Ajuts Universitaris i de Recerca 2017SGR723Biobanco La Fe PT17/0015/0043RD 09 0076/00021Consejería de Salud, Junta de Andalucía PI-0306-2011Consejería de Salud, Junta de Andalucía PI-0571-2009Consejería de Salud, Junta de Andalucía salud201200057018traEuropean Commission FOOD-CT-2006-036224-HIWATEFISABIO Biobank PT17/0015/0017Fundación Científica Asociación Española Contra el Cáncer GCTRA18022MOREFundación Marqués de Valdecilla API 10/09Instituto de Salud Carlos III PI08/0533Instituto de Salud Carlos III PI08/1359Instituto de Salud Carlos III PI08/1770Instituto de Salud Carlos III PI11/00226Instituto de Salud Carlos III PI11/01403Instituto de Salud Carlos III PI11/01810Instituto de Salud Carlos III PI11/01889-FEDERInstituto de Salud Carlos III PI11/02213Instituto de Salud Carlos III PI12/00150Instituto de Salud Carlos III PI12/00265Instituto de Salud Carlos III PI12/00488Instituto de Salud Carlos III PI12/00715Instituto de Salud Carlos III PI12/01270Instituto de Salud Carlos III PI14/01219Instituto de Salud Carlos III PI14/0613Instituto de Salud Carlos III PI15/00069Instituto de Salud Carlos III PI15/00914Instituto de Salud Carlos III PI15/01032Instituto de Salud Carlos III PI17-00092Instituto de Salud Carlos III PI17/01179Instituto de Salud Carlos III PIE16/00049Instituto de Salud Carlos III PS09/00773Instituto de Salud Carlos III PS09/01286Instituto de Salud Carlos III PS09/ 01662Instituto de Salud Carlos III PS09/01903Instituto de Salud Carlos III PS09/02078Parc de Salut MAR Biobank (MARBiobanc) RD09/0076/00036Recercaixa 2010ACUP00310Red Temática de Investigación del Cáncer (RTICC) RD12/0036/0036Regional Government of Castilla y León LE22A10-2Regional Health Ministry of Valencia AP_061/10
6 · The paper itself

Abstract

purposeThe variation in breast cancer (BC)-risk factor associations between screen-detected (SD) and non-screen-detected (NSD) tumors has been poorly studied, despite the interest of this aspect in risk assessment and prevention. This study analyzes the differences in breast cancer-risk factor associations according to detection method and tumor phenotype in Spanish women aged between 50 and 69.

methodsWe examined 900 BC cases and 896 controls aged between 50 and 69, recruited in the multicase-control MCC-Spain study. With regard to the cases, 460 were detected by screening mammography, whereas 144 were diagnosed by other means. By tumor phenotype, 591 were HR+, 153 were HER2+, and 58 were TN. Lifestyle, reproductive factors, family history of BC, and tumor characteristics were analyzed. Logistic regression models were used to compare cases vs. controls and SD vs. NSD cases. Multinomial regression models (controls used as a reference) were adjusted for case analysis according to phenotype and detection method.

resultsTN was associated with a lower risk of SD BC (OR 0.30 IC 0.10-0.89), as were intermediate (OR 0.18 IC 0.07-0.44) and advanced stages at diagnosis (OR 0.11 IC 0.03-0.34). Nulliparity in postmenopausal women and age at menopause were related to an increased risk of SD BC (OR 1.60 IC 1.08-2.36; OR 1.48 IC 1.09-2.00, respectively). Nulliparity in postmenopausal women was associated with a higher risk of HR+ (OR 1.66 IC 1.15-2.40). Age at menopause was related to a greater risk of HR+ (OR 1.60 IC 1.22-2.11) and HER2+ (OR 1.59 IC 1.03-2.45) tumors.

conclusionReproductive risk factors are associated with SD BC, as are HR+ tumors. Differences in BC-risk factor associations according to detection method may be related to prevailing phenotypes among categories.

Indexed as

Breast NeoplasmsAgedCase-Control StudiesEarly Detection of CancerFemaleHumansMammographyMiddle AgedRisk FactorsSpainBreast neoplasmEarly detection of cancerPhenotypeRisk factors

Identifiers

PMID34817770
PMCPMC8739309

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