Evidence map›Paper›PMID 31496793›Full record

ArticleBreast cancer (Dove Medical Press)2019

Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women.

Héctor A Velásquez García, Carolyn C Gotay, Christine M Wilson, Caroline A Lohrisch, Agnes S Lai, Kristan J Aronson, John J Spinelli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer (Dove Medical Press), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Héctor A Velásquez GarcíaSchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Carolyn C GotaySchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Christine M WilsonScreening Mammography Program, BC Cancer, Vancouver, BC, Canada.
Caroline A LohrischDepartment of Medical Oncology, BC Cancer, Vancouver, BC, Canada.
Agnes S LaiPopulation Oncology, BC Cancer, Vancouver, BC, Canada.
Kristan J AronsonDepartment of Public Health Sciences and Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON, Canada.
John J SpinelliSchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMammographic density is an important breast cancer risk factor, although it is not clear whether the association differs across breast cancer tumor subtypes. We examined the association between indicators of mammographic density and breast cancer risk by tumor subtype among postmenopausal women by investigating heterogeneity across tumor characteristics.

methodsMammographic density measures were determined for 477 breast cancer cases and 588 controls, all postmenopausal, in Vancouver, British Columbia, using digitized screening mammograms and Cumulus software. Mammographic dense (DA), non-dense (NDA), and percent dense (PDA) areas were treated as continuous covariates and categorized into quartiles according to the distribution in controls. For cases only, tests for heterogeneity between tumor subtypes were assessed by multinomial logistic regression. Associations between mammographic density and breast cancer risk were modeled for each subtype separately through unconditional logistic regression.

resultsHeterogeneity was apparent for the association of PDA with tumor size (

conclusionThese findings do not provide strong evidence that mammographic density parameters differentially affect specific breast cancer tumor characteristics.

Indexed as

breast cancerheterogeneitymammographic densitymultinomial logistic regressiontumor characteristics

Identifiers

PMID31496793
PMCPMC6702445

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