Evidence map›Paper›PMID 35033155›Full record

ArticleBreast cancer research : BCR2022

The impact of breast density notification on rescreening rates within a population-based mammographic screening program.

Sarah Pirikahu, Helen Lund, Gemma Cadby, Elizabeth Wylie, Jennifer Stone

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 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
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Sarah PirikahuGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, M431, Crawley, Perth, WA, 6009, Australia.
Helen LundBreastScreen Western Australia, Women and Newborn Health Service, Perth, WA, Australia.
Gemma CadbyGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, M431, Crawley, Perth, WA, 6009, Australia.
Elizabeth WylieBreastScreen Western Australia, Women and Newborn Health Service, Perth, WA, Australia.
Jennifer StoneGenetic Epidemiology Group, School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, M431, Crawley, Perth, WA, 6009, Australia. Jennifer.Stone@uwa.edu.au.ORCID 0000-0001-5077-0124
The University of Western Australia · AUBreastScreen WA · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh participation in mammographic screening is essential for its effectiveness to detect breast cancers early and thereby, improve breast cancer outcomes. Breast density is a strong predictor of breast cancer risk and significantly reduces the sensitivity of mammography to detect the disease. There are increasing mandates for routine breast density notification within mammographic screening programs. It is unknown if breast density notification impacts the likelihood of women returning to screening when next due (i.e. rescreening rates). This study investigates the association between breast density notification and rescreening rates using individual-level data from BreastScreen Western Australia (WA), a population-based mammographic screening program.

methodsWe examined 981,705 screening events from 311,656 women aged 40+ who attended BreastScreen WA between 2008 and 2017. Mixed effect logistic regression was used to investigate the association between rescreening and breast density notification status.

resultsResults were stratified by age (younger, targeted, older) and screening round (first, second, third+). Targeted women screening for the first time were more likely to return to screening if notified as having dense breasts (Percent

conclusionsBreast density notification does not deter women in the targeted age range from rescreening but could potentially deter younger women from rescreening. These results suggest that all breast density notification messaging should include information regarding the importance of regular mammographic screening to manage breast cancer risk, particularly for younger women. These results will directly inform BreastScreen programs in Australia as well as other population-based screening providers outside Australia who notify women about breast density or are considering implementing breast density notification.

Indexed as

Breast DensityBreast NeoplasmsAdultAgedEarly Detection of CancerFemaleHumansLogistic ModelsMammographyMass ScreeningBreast cancerBreast density notificationMammographic screeningRescreening

Identifiers

PMID35033155
PMCPMC8760641
OpenAlexW4206836546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.