Evidence map›Paper›PMID 33606032›Full record

ArticleJAMA network open2021

Comparative Access to and Use of Digital Breast Tomosynthesis Screening by Women's Race/Ethnicity and Socioeconomic Status.

Christoph I Lee, Weiwei Zhu, Tracy Onega, Louise M Henderson, Karla Kerlikowske, Brian L Sprague, Garth H Rauscher, Ellen S O'Meara, Anna N A Tosteson, Jennifer S Haas and 3 more

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06305312 (Community Services Navigation to Advance Health Equity in Breast Cancer Screening), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT06305312 narecruitingnot on this mapstarted 2024, after this paper: background citation

Community Services Navigation to Advance Health Equity in Breast Cancer Screening

TypeinterventionalSponsorUniversity of UtahRan2024 to 2028Enrolled1,450ConditionsBreast CancerArmsCommunity Service Navigation, Usual Care
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Association between Participant Characteristics and Breast Parenchymal Texture Variation among Postmenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Population simulation modeling of disparities in US breast cancer mortality.Journal of the National Cancer Institute. Monographs · 2023
    Article
  14. Racial and Ethnic Variation in Diagnostic Mammography Performance among Women Reporting a Breast Lump.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Christoph I LeeDepartment of Radiology, University of Washington School of Medicine, Seattle.
Weiwei ZhuKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Tracy OnegaHuntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City.
Louise M HendersonDepartment of Radiology, University of North Carolina at Chapel Hill.
Karla KerlikowskeDepartment of Medicine, University of California, San Francisco.
Brian L SpragueDepartment of Surgery, University of Vermont Cancer Center, Burlington.
Garth H RauscherDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago.
Ellen S O'MearaKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Jennifer S HaasDivision of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Roberta diFlorio-AlexanderDepartment of Radiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Celia KaplanDepartment of Medicine, University of California, San Francisco.
Diana L MigliorettiDivision of Biostatistics, Department of Public Health Sciences, University of California, Davis, School of Medicine.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SIGMON, STACEY C · 2013 to 2022
$21.3M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Comparative effectiveness of breast imaging modalities: a natural experimentR01HS018366 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RAUSCHER, GARTH H · 2010 to 2014
$1.8M
AHRQ HHS R01 HS018366NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA023108NCI NIH HHS U54 CA163303NIEHS NIH HHS P30 ES027792NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

Importance: Digital breast tomosynthesis (DBT) has reduced recall and increased cancer detection compared with digital mammography (DM), depending on women's age and breast density. Whether DBT screening access and use are equitable across groups of women based on race/ethnicity and socioeconomic characteristics is uncertain. Objective: To determine women's access to and use of DBT screening based on race/ethnicity, educational attainment, and income. Design, Setting, and Participants: This cross-sectional study included 92 geographically diverse imaging facilities across 5 US states, at which a total of 2 313 118 screening examinations were performed among women aged 40 to 89 years from January 1, 2011, to December 31, 2017. Data were analyzed from June 13, 2019, to August 18, 2020. Exposures: Women's race/ethnicity, educational level, and community-level household income. Main Outcomes and Measures: Access to DBT (on-site access) at time of screening by examination year and actual use of DBT vs DM screening by years since facility-level DBT adoption (≤5 years). Results: Among the 2 313 118 screening examinations included in the analysis, the proportion of women who had DBT access at the time of their screening appointment increased from 11 558 of 354 107 (3.3%) in 2011 to 194 842 of 235 972 (82.6%) in 2017. In 2012, compared with White women, Black (relative risk [RR], 0.05; 95% CI, 0.03-0.11), Asian American (RR, 0.28; 95% CI, 0.11-0.75), and Hispanic (RR, 0.38; 95% CI, 0.18-0.80) women had significantly less DBT access, and women with less than a high school education had lower DBT access compared with college graduates (RR, 0.18; 95% CI, 0.10-0.32). Among women attending facilities with both DM and DBT available at the time of screening, Black women experienced lower DBT use compared with White women attending the same facility (RRs, 0.83 [95% CI, 0.82-0.85] to 0.98 [95% CI, 0.97-0.99]); women with lower educational level experienced lower DBT use (RRs, 0.79 [95% CI, 0.74-0.84] to 0.88 [95% CI, 0.85-0.91] for non-high school graduates and 0.90 [95% CI, 0.89-0.92] to 0.96 [95% CI, 0.93-0.99] for high school graduates vs college graduates); and women within the lowest income quartile experienced lower DBT use vs women in the highest income quartile (RRs, 0.89 [95% CI, 0.87-0.91] to 0.99 [95% CI, 0.98-1.00]) regardless of the number of years after facility-level DBT adoption. Conclusions and Relevance: In this cross-sectional study, women of minority race/ethnicity and lower socioeconomic status experienced lower DBT access during the early adoption period and persistently lower DBT use when available over time. Future efforts should address racial/ethnic, educational, and financial barriers to DBT screening.

Indexed as

Educational StatusAdultAgedAged, 80 and overAsianBlack or African AmericanBreast NeoplasmsEarly Detection of CancerEthnicityFemaleHealthcare DisparitiesHealth Services AccessibilityHispanic or LatinoHumansIncomeMammography

Identifiers

PMID33606032
PMCPMC7896194

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Registered trials

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.