Evidence map›Paper›PMID 32394349›Full record

Observational studyBreast cancer research and treatment2020

Racial/ethnic differences in supplemental imaging for breast cancer screening in women with dense breasts.

Charlotte Ezratty, Suzanne Vang, Jordonna Brown, Laurie R Margolies, Lina Jandorf, Jenny J Lin

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Impact of BMI on Prevalence of Dense Breasts by Race and Ethnicity.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  9. Review
  10. Breast Density Awareness and Knowledge in a Mammography Screening Cohort of Predominantly Hispanic Women: Does Breast Density Notification Matter?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  11. 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

6 authors at 1 institution in 1 country.

Charlotte EzrattyDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA. charlotte.ezratty@icahn.mssm.edu.
Suzanne VangDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jordonna BrownGraduate Program in Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Laurie R MargoliesDepartment of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Lina JandorfDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jenny J LinDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

Training Program in Cancer Prevention and Control for Priority PopulationsT32CA225617 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Guy H Montgomery, JUAN P WISNIVESKY · 2018 to 2026
$2.6M
Impact of Cancer on Adherence in DiabetesK07CA166462 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LIN, JENNY J. · 2013 to 2017
$846k
NCI NIH HHS K07 CA166462NCI NIH HHS T32 CA225617
6 · The paper itself

Abstract

backgroundMammography is limited when analyzing dense breasts for 2 reasons: (1) breast density masks underlying cancers and (2) breast density is an independent risk factor for cancer. We undertook this study to assess whether there is a racial/ethnic difference in supplemental image ordering for women with dense breasts.

methodsWe conducted a retrospective, observational cohort study of women aged 50-75 from an academic medical center who had completed a screening mammogram between 2014 and 2016 that was read as BI-RADS 1 with heterogeneously or extremely dense breasts or BI-RADS 2 with extremely dense breasts. Data were abstracted on type, timing and frequency of supplemental imaging tests ordered within two years of an initial screening mammogram. Patient characteristics (age, race/ethnicity, insurance, and comorbidities) were also abstracted. We used bivariate and multivariate logistic regression to assess for differences in supplemental imaging ordered by race/ethnicity.

resultsThree hundred twenty-six women met inclusion criteria. Mean age was 58 years: 25% were non-Hispanic white, 30% were non-Hispanic black, 27% were Hispanic, 6% were Asian and 14% unknown. Seventy-nine (24%) women were ordered a supplemental breast ultrasound after the initial screening mammogram. Non-Hispanic black and Hispanic women were less likely to have supplemental imaging ordered compared to non-Hispanic white women (15% and 10%, respectively, vs. 45%, p < 0.0001). After controlling for patient age, ordering physician specialty, insurance, BI-RADS score, breast density, and family history of breast cancer, non-Hispanic black and Hispanic women remained less likely to be ordered supplemental imaging (OR 0.38 [95% CI 0.17-0.85] and OR 0.24 [95% CI 0.10-0.61], respectively, p < 0.0001).

conclusionMinority women with dense breasts are less likely to be ordered supplemental breast imaging. Further research should investigate physician and patient behaviors to determine barriers in supplemental imaging. Understanding these differences may help reduce disparities in breast cancer care and mortality.

Indexed as

Healthcare DisparitiesAgedBreast NeoplasmsEarly Detection of CancerEthnicityFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedMammographyMiddle AgedPrognosisRetrospective StudiesUltrasonography, MammaryCancer screeningRace and ethnicityWomen’s health

Identifiers

PMID32394349
PMCPMC7392160
OpenAlexW3024864326

What OpenQuestion holds

Textmetadata
LicenceTDM
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.