Evidence map›Paper›PMID 36069622›Full record

ArticleJournal of the National Cancer Institute2023

Breast cancer screening during the COVID-19 pandemic: moving from disparities to health equity.

Ilana Richman, Baylah Tessier-Sherman, Deron Galusha, Carol R Oladele, Karen Wang

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Associations between Insurance Status, Financial Hardship, and Rurality on Receipt of Guideline-Concordant Mammography.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. A Novel Approach for Conducting a Catchment Area Analysis of Breast Cancer by Age and Stage for a Community Cancer Center.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cancer statistics, 2026.CA: a cancer journal for clinicians
    Article
  16. Article
  17. Cancer statistics, 2025.CA: a cancer journal for clinicians
    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

5 authors.

Ilana RichmanDepartment of Medicine, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-7438-8907
Baylah Tessier-ShermanDepartment of Medicine, Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT, USA.
Deron GalushaDepartment of Medicine, Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT, USA.
Carol R OladeleDepartment of Medicine, Yale School of Medicine, New Haven, CT, USA.
Karen WangDepartment of Medicine, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-7866-9498

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
Personal Health Libraries for Formerly Incarcerated IndividualsR01LM013477 · NLM · YALE UNIVERSITY · PI WANG, KAREN H · 2020 to 2023
$1.9M
Supporting Personalized Decision Making for Breast Cancer Screening among Older WomenK08CA248725 · NCI · YALE UNIVERSITY · PI RICHMAN, ILANA · 2021 to 2025
$1.3M
Food insecurity and hypertension in the Eastern CaribbeanK01HL145347 · NHLBI · YALE UNIVERSITY · PI OLADELE, CAROL RENEE · 2019 to 2023
$797k
Accelerating Health Information Resource Equity for Multiracial PopulationsG08LM013801 · NLM · YALE UNIVERSITY · PI WANG, KAREN H · 2021 to 2023
$420k
NCATS NIH HHS UL1 TR001863NCI NIH HHS K08 CA248725NCI NIH HHS K08CA248725NHLBI NIH HHS 1K01HL145347NHLBI NIH HHS K01 HL145347NLM NIH HHS G08 LM013801NLM NIH HHS R01 LM013477NLM NIH HHS R01LM013477
6 · The paper itself

Abstract

The COVID-19 pandemic created unprecedented disruptions to routine health care in the United States. Screening mammography, a cornerstone of breast cancer control and prevention, was completely halted in the spring of 2020, and screening programs have continued to face challenges with subsequent COVID-19 waves. Although screening mammography rates decreased for all women during the pandemic, a number of studies have now clearly documented that reductions in screening have been greater for some populations than others. Specifically, minoritized women have been screened at lower rates than White women across studies, although the specific patterns of disparity vary depending on the populations and communities studied. We posit that these disparities are likely due to a variety of structural and contextual factors, including the differential impact of COVID-19 on communities. We also outline key considerations for closing gaps in screening mammography. First, practices, health systems, and communities must measure screening mammography use to identify whether gaps exist and which populations are most affected. Second, we propose that strategies to close disparities in breast cancer screening must be multifaceted, targeting the health system or practice, but also structural factors at the policy level. Health disparities arise from a complex set of conditions, and multimodal solutions that address the complex, multifactorial conditions that lead to disparities may be more likely to succeed and are necessary for promoting health equity.

Indexed as

Breast NeoplasmsCOVID-19Health EquityEarly Detection of CancerFemaleHealthcare DisparitiesHumansMammographyMass ScreeningPandemicsUnited States

Identifiers

PMID36069622
PMCPMC9494402

What OpenQuestion holds

Textmetadata
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.