Evidence map›Paper›PMID 40663248›Full record

ReviewCancer causes & control : CCC2025

Where are we now and where do we go from here? A structured literature review analyzing the current state of breast density research trends and discussions.

Gina Purdue, Sherrie Flynt Wallington, Anita K Mehta

Abstract readReview
In one paragraph

Review in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Gina PurdueGeorge Washington University School of Nursing, 1919 Pennsylvania Avenue, Suite 500, Washington DC, 20006, USA.
Sherrie Flynt WallingtonGeorge Washington University School of Nursing, 1919 Pennsylvania Avenue, Suite 500, Washington DC, 20006, USA. sflyntwalling31@gwu.edu.
Anita K MehtaGeorge Washington Medical Faculty Associates, Washington DC, USA.

Funding

Prevent Cancer Foundation 1184990
6 · The paper itself

Abstract

purposeThis structured literature review has been conducted to identify and map existing research on patient understanding of breast density, its implications for breast cancer risk, and the effects of breast density notification laws on supplemental screening and patient-provider communication. The study aimed to synthesize key research themes and identify gaps in the literature related to breast density awareness, communication, and policy impacts.

methodsThe public health and medical literature were searched in the National Library of Medicine's online database, PubMed. Articles were limited to U.S.-based research projects, and specifically excluded other literature reviews.

resultsThis examination resulted in a review of 69 articles and themes that included breast density risk, racial differences and disparities, the impact of the notification laws on knowledge and reactions regarding notification, how notification laws impacted supplemental screening, the impacts within vulnerable populations, provider knowledge, patient's understanding and perceptions, and effectiveness and comprehension of potential educational and decision aid materials used.

conclusionBased on the review, recommendations for future research and improved communications-both patient notifications and provider training-are made.

Indexed as

Breast DensityBreast NeoplasmsEarly Detection of CancerFemaleHealth Knowledge, Attitudes, PracticeHumansBreast densityBreast healthDisparitiesFDAHealth literacyNotifications

Identifiers

PMID40663248
PMCPMC12578689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.