Evidence map›Paper›PMID 30819215›Full record

ArticleBreast cancer research : BCR2019

The distribution and determinants of mammographic density measures in Western Australian aboriginal women.

Kirsty McLean, Ellie Darcey, Gemma Cadby, Helen Lund, Leanne Pilkington, Andrew Redfern, Sandra Thompson, Christobel Saunders, Elizabeth Wylie, Jennifer Stone

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

10 authors at 3 institutions in 1 country.

Kirsty McLeanCentre for Genetic Origins of Health and Disease, School of Biomedical Science, Curtin University and The University of Western Australia, Perth, Western Australia, Australia.
Ellie DarceyCentre for Genetic Origins of Health and Disease, School of Biomedical Science, Curtin University and The University of Western Australia, Perth, Western Australia, Australia.
Gemma CadbyCentre for Genetic Origins of Health and Disease, School of Biomedical Science, Curtin University and The University of Western Australia, Perth, Western Australia, Australia.
Helen LundBreastScreen Western Australia, Women and Newborn Health Service, Perth, Western Australia, Australia.
Leanne PilkingtonBreastScreen Western Australia, Women and Newborn Health Service, Perth, Western Australia, Australia.
Andrew RedfernSchool of Medicine, The University of Western Australia, Perth, Western Australia, Australia.
Sandra ThompsonWestern Australian Centre for Rural Health, School of Population and Global Health, The University of Western Australia, Geraldton, Western Australia, Australia.
Christobel SaundersSchool of Medicine, The University of Western Australia, Perth, Western Australia, Australia.
Elizabeth WylieBreastScreen Western Australia, Women and Newborn Health Service, Perth, Western Australia, Australia.
Jennifer StoneCentre for Genetic Origins of Health and Disease, School of Biomedical Science, Curtin University and The University of Western Australia, Perth, Western Australia, Australia. Jennifer.stone@uwa.edu.au.ORCID 0000-0001-5077-0124
The University of Western Australia · AUBreastScreen WA · AUGovernment of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammographic density (MD) is an established risk factor for breast cancer. There are significant ethnic differences in MD measures which are consistent with those for corresponding breast cancer risk. This is the first study investigating the distribution and determinants of MD measures within Aboriginal women of Western Australia (WA).

methodsEpidemiological data and mammographic images were obtained from 628 Aboriginal women and 624 age-, year of screen-, and screening location-matched non-Aboriginal women randomly selected from the BreastScreen Western Australia database. Women were cancer free at the time of their mammogram between 1989 and 2014. MD was measured using the Cumulus software. Kolmogorov-Smirnov tests were used to compare distributions of absolute dense area (DA), precent dense area (PDA), non-dense area (NDA) and total breast area between Aboriginal and non-Aboriginal women. General linear regression was used to estimate the determinants of MD, adjusting for age, NDA, hormone therapy use, family history, measures of socio-economic status and remoteness of residence for Aboriginal and non-Aboriginal women separately.

resultsAboriginal women were found to have lower DA and PDA and higher NDA than non-Aboriginal women. Age (p <  0.001) was negatively associated and several socio-economic indices (p <  0.001) were positively associated with DA and PDA in Aboriginal and non-Aboriginal women. Remoteness of residence was associated with both mammographic measures but for non-Aboriginal women only.

conclusionsAboriginal women have, on average, less MD than non-Aboriginal women but the factors associated with MD are similar for both sample populations. Since reduced MD is associated with improved sensitivity of mammography, this study suggests that mammographic screening is a particularly good test for Australian Indigenous women, a population that suffers from high breast cancer mortality.

Indexed as

Breast DensityAge FactorsAustralian Aboriginal and Torres Strait Islander PeoplesBreastBreast NeoplasmsCase-Control StudiesEarly Detection of CancerFemaleHumansMammographyMiddle AgedRisk FactorsSocioeconomic FactorsWestern AustraliaBreast cancerEthnicityIndigenous womenMammographic densityMammographic screeningRisk factor

Identifiers

PMID30819215
PMCPMC6393976
OpenAlexW2942615702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.