Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pmed.1002335
DC FieldValue
dc.titleMammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide
dc.contributor.authorBurton A.
dc.contributor.authorMaskarinec G.
dc.contributor.authorPerez-Gomez B.
dc.contributor.authorVachon C.
dc.contributor.authorMiao H.
dc.contributor.authorLajous M.
dc.contributor.authorL髉ez-Ridaura R.
dc.contributor.authorRice M.
dc.contributor.authorPereira A.
dc.contributor.authorGarmendia M.L.
dc.contributor.authorTamimi R.M.
dc.contributor.authorBertrand K.
dc.contributor.authorKwong A.
dc.contributor.authorUrsin G.
dc.contributor.authorLee E.
dc.contributor.authorQureshi S.A.
dc.contributor.authorMa H.
dc.contributor.authorVinnicombe S.
dc.contributor.authorMoss S.
dc.contributor.authorAllen S.
dc.contributor.authorNdumia R.
dc.contributor.authorVinayak S.
dc.contributor.authorTeo S.-H.
dc.contributor.authorMariapun S.
dc.contributor.authorFadzli F.
dc.contributor.authorPeplonska B.
dc.contributor.authorBukowska A.
dc.contributor.authorNagata C.
dc.contributor.authorStone J.
dc.contributor.authorHopper J.
dc.contributor.authorGiles G.
dc.contributor.authorOzmen V.
dc.contributor.authorAribal M.E.
dc.contributor.authorSch鼁 J.
dc.contributor.authorVan Gils C.H.
dc.contributor.authorWanders J.O.P.
dc.contributor.authorSirous R.
dc.contributor.authorSirous M.
dc.contributor.authorHipwell J.
dc.contributor.authorKim J.
dc.contributor.authorLee J.W.
dc.contributor.authorDickens C.
dc.contributor.authorHartman M.
dc.contributor.authorChia K.-S.
dc.contributor.authorScott C.
dc.contributor.authorChiarelli A.M.
dc.contributor.authorLinton L.
dc.contributor.authorPollan M.
dc.contributor.authorFlugelman A.A.
dc.contributor.authorSalem D.
dc.contributor.authorKamal R.
dc.contributor.authorBoyd N.
dc.contributor.authordos-Santos-Silva I.
dc.contributor.authorMcCormack V.
dc.date.accessioned2018-08-29T08:52:39Z
dc.date.available2018-08-29T08:52:39Z
dc.date.issued2017-06-30
dc.identifier.citationBurton A., Maskarinec G., Perez-Gomez B., Vachon C., Miao H., Lajous M., L髉ez-Ridaura R., Rice M., Pereira A., Garmendia M.L., Tamimi R.M., Bertrand K., Kwong A., Ursin G., Lee E., Qureshi S.A., Ma H., Vinnicombe S., Moss S., Allen S., Ndumia R., Vinayak S., Teo S.-H., Mariapun S., Fadzli F., Peplonska B., Bukowska A., Nagata C., Stone J., Hopper J., Giles G., Ozmen V., Aribal M.E., Sch鼁 J., Van Gils C.H., Wanders J.O.P., Sirous R., Sirous M., Hipwell J., Kim J., Lee J.W., Dickens C., Hartman M., Chia K.-S., Scott C., Chiarelli A.M., Linton L., Pollan M., Flugelman A.A., Salem D., Kamal R., Boyd N., dos-Santos-Silva I., McCormack V. (2017-06-30). Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide. PLoS Medicine 14 (6) : e1002335. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pmed.1002335
dc.identifier.issn15491277
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146663
dc.description.abstractBackground: Mammographic density (MD) is one of the strongest breast cancer risk factors. Its age-related characteristics have been studied in women in western countries, but whether these associations apply to women worldwide is not known. Methods and findings: We examined cross-sectional differences in MD by age and menopausal status in over 11,000 breast-cancer-free women aged 35� years, from 40 ethnicity- and location-specific population groups across 22 countries in the International Consortium on Mammographic Density (ICMD). MD was read centrally using a quantitative method (Cumulus) and its square-root metrics were analysed using meta-analysis of group-level estimates and linear regression models of pooled data, adjusted for body mass index, reproductive factors, mammogram view, image type, and reader. In all, 4,534 women were premenopausal, and 6,481 postmenopausal, at the time of mammography. A large age-adjusted difference in percent MD (PD) between post- and premenopausal women was apparent (�46 cm [95% CI: ?0.53, ?0.39]) and appeared greater in women with lower breast cancer risk profiles; variation across population groups due to heterogeneity (I2) was 16.5%. Among premenopausal women, the ?PD difference per 10-year increase in age was ?0.24 cm (95% CI: ?0.34, ?0.14; I2= 30%), reflecting a compositional change (lower dense area and higher non-dense area, with no difference in breast area). In postmenopausal women, the corresponding difference in ?PD (?0.38 cm [95% CI: ?0.44, ?0.33]; I2= 30%) was additionally driven by increasing breast area. The study is limited by different mammography systems and its cross-sectional rather than longitudinal nature. Conclusions: Declines in MD with increasing age are present premenopausally, continue postmenopausally, and are most pronounced over the menopausal transition. These effects were highly consistent across diverse groups of women worldwide, suggesting that they result from an intrinsic biological, likely hormonal, mechanism common to women. If cumulative breast density is a key determinant of breast cancer risk, younger ages may be the more critical periods for lifestyle modifications aimed at breast density and breast cancer risk reduction. � 2017 Burton et al.
dc.publisherPublic Library of Science
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentSURGERY
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.1371/journal.pmed.1002335
dc.description.sourcetitlePLoS Medicine
dc.description.volume14
dc.description.issue6
dc.description.pagee1002335
dc.published.statepublished
dc.grant.idR37 CA54281
dc.grant.idR01CA85265
dc.grant.idUM1 CA176726
dc.grant.idR01 CA177150
dc.grant.idCA124865
dc.grant.idUM1 CA186107
dc.grant.idR01 CA97396
dc.grant.idP50 CA116201
dc.grant.idR01 CA140286
dc.grant.idCA15083
dc.grant.idCA131332
dc.grant.idEP/K020439/1
dc.grant.id251553
dc.grant.id209057
dc.grant.id504711
dc.grant.id2007MayPR23
dc.grant.idPS09/0790
dc.grant.idPI060386
dc.grant.idRP046B-15HTM
dc.grant.idUM.C/HIR/MOHE/06
dc.grant.idEPY1169-10
dc.grant.idG186/11
dc.grant.idC405/A14565
dc.grant.id43282
dc.grant.id2010-0811
dc.grant.id1130277
dc.grant.id1120326
dc.grant.id11100238
dc.grant.id3130532
dc.grant.id10A035
dc.grant.id2010/245
dc.grant.fundingagencyVicHealth
dc.grant.fundingagencyEllison Medical Foundation
dc.grant.fundingagencyBreast Cancer Campaign
dc.grant.fundingagencyEuropean Commission
dc.grant.fundingagencySusan G. Komen
dc.grant.fundingagencyKWF Kankerbestrijding
dc.grant.fundingagencyCancer Research UK
dc.grant.fundingagencyFoundation for the National Institutes of Health
dc.grant.fundingagencyNational Medical Research Council
dc.grant.fundingagencyAustralian Institute of Health and Welfare, Australian Government
dc.grant.fundingagencyHealth and Medical Research Fund
dc.grant.fundingagencyUniversity of Isfahan
dc.grant.fundingagencyAmerican Institute for Cancer Research
dc.grant.fundingagencyCentre International de Recherche sur le Cancer
dc.grant.fundingagencyNational Research Council of Science and Technology
dc.grant.fundingagencyWorld Cancer Research Fund
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
journal.pmed.1002335.pdf2.65 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.