Evidence map›Paper›PMID 40922826›Full record

ArticleCureus2025

Disproportionate Impact of COVID-19 on Breast Cancer Diagnoses in Older Hispanic Women.

Atharva P Rohatgi, Nathan Tran, Teresa Palkowski, Cheng-I Liao, Kathleen Darcy, Chunqiao Tian, Daniel S Kapp, John K Chan

Abstract read
In one paragraph

Article in Cureus, 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

8 authors.

Atharva P RohatgiInternal Medicine, Florida Atlantic University Charles E. Schmidt College of Medicine, Boca Raton, USA.
Nathan TranResearch, Palo Alto Research Center, San Francisco, USA.
Teresa PalkowskiObstetrics and Gynecology, University of California, San Francisco (UCSF) Fresno, Fresno, USA.
Cheng-I LiaoDepartment of Obstetrics and Gynecology, Kaohsiung Veterans General Hospital, Kaohsiung, TWN.
Kathleen DarcyGynecologic Cancer Center of Excellence Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, USA.
Chunqiao TianGynecologic Cancer Center of Excellence Program, Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, USA.
Daniel S KappDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, USA.
John K ChanObstetrics and Gynecology, California Pacific Medical Center, San Francisco, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose This study aimed to evaluate the impact of COVID-19 pandemic on discrepancies between expected and actual breast cancer diagnosis. Methods Data on breast cancer incidence were obtained from the United States Cancer Statistics (USCS) program from 2001 to 2020. We compared actual breast cancer incidence rates in the year 2020 to estimated rates based on trends from 2001 to 2019.  Results From 2001 to 2019, there were 4,005,763 identified cases of breast cancer in the United States. Prior to the pandemic, the incidence rate of breast cancer was 162.87 per 100,000 in females with an annual increase of 1.32% (p < 0.001). A comparison between projected and observed incidences in 2020 revealed a 21,450-case discrepancy, indicating 10.1% fewer diagnosed cases than expected. Patients over 70 years old exhibited the highest discrepancy of more than 13.27% compared to younger cohorts. Hispanic patients saw the largest discrepancy with 13.4% fewer diagnoses compared to only 10.5% in White patients. Intersectional analysis showed that older Hispanic patients aged 65-69 years old residing in the Northeast observed one of the highest discrepancies at nearly 25.9% fewer cases. Conclusions The reported breast cancer cases significantly declined during the pandemic. Older age, Hispanic race and ethnicity, and those residing in the Northeast region had the greatest number of missing cases.

Indexed as

breast cancerbreast cancer screening barrierscancer epidemiologycovid-19healthcare disparity

Identifiers

PMID40922826
PMCPMC12414135

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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.