Evidence map›Paper›PMID 32537899›Full record

ArticleCancer medicine2020

Breast cancer supplemental screening: Women's knowledge and utilization in the era of dense breast legislation.

Jenerius A Aminawung, Jessica R Hoag, Kelly A Kyanko, Xiao Xu, Ilana B Richman, Susan H Busch, Cary P Gross

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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 at 2 institutions in 1 country.

Jenerius A AminawungCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-7014-6801
Jessica R HoagCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT, USA.
Kelly A KyankoDepartment of Population Health, New York University School of Medicine, New York City, NY, USA.
Xiao XuCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT, USA.
Ilana B RichmanCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT, USA.
Susan H BuschCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT, USA.
Cary P GrossCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4974-935X
Yale Cancer Center · USNew York University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundGiven the growth in dense breast notification (DBN) legislation in the United States, we examined the association between different types of DBN laws and supplemental screening behaviors among women.

methodsWe surveyed in March-April 2018 a nationally representative sample of women aged 40-59 years who received a routine screening mammogram in the past 18 months. Survey items included the following topics regarding supplemental screening: discussing risks or benefits with a provider, knowledge about the risk of false positives, and utilization. We grouped women by state DBN into non-DBN, generic DBN (mentions breast density but not supplemental screening), DBN that mentions supplemental screening (DBN-SS), and DBN with mandated insurance coverage for supplemental screening (DBN-coverage), and estimated adjusted predicted probabilities for supplemental screening behaviors.

resultsOf 1641 women surveyed, 21.3% resided in non-DBN, 41.2% in generic DBN, 25.8% in DBN-SS, and 12.5% in DBN-coverage states. Overall, 23.0% of respondents had discussed supplemental screening with a provider, 11.3% of whom discussed the risks, and 49.5% discussed the benefits. In adjusted analysis, women living in DBN-coverage states were more likely to discuss supplemental screening (27.5%) than women in non-DBN states (13.6%); pairwise contrast 13.8% (95% CI, 2.1% to 25.6%; P = .01). They were also more likely to have received supplemental screening for increased breast density (19.3%) compared to women living in non-DBN (9.9%); contrast 9.4% (95% CI, 1.6% to 17.3%; P = .01), Generic DBN (7.3%); difference 12.0% (95% CI, 4.6% to 19.4%; P =< .001), and DBN-SS (8.8%); contrast 10.5% (95% CI, 2.6% to 18.5%; P < .01) states.

conclusionsWomen in DBN-coverage states were more likely to discuss supplemental screening with their providers, and to undergo supplemental screening, compared to women in states with other types of DBN laws, or without DBN laws.

Indexed as

AdultBreast NeoplasmsEarly Detection of CancerFemaleHumansMiddle AgedWomen's Healthbreast cancer screening behaviorbreast densitydense breast notification lawspatient provider discussionsupplemental screening

Identifiers

PMID32537899
PMCPMC7402830
OpenAlexW3034505190

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.