Evidence map›Paper›PMID 39420801›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Determinants of Breast Cancer Screening Adherence During the COVID-19 Pandemic in a Cohort at Increased Inherited Cancer Risk in the United States.

Adrian Harris, Jemar R Bather, Kensaku Kawamoto, Guilherme Del Fiol, Richard L Bradshaw, Lauren Kaiser-Jackson, Rachel Monahan, Wendy Kohlmann, Feng Liu, Ophira Ginsburg and 2 more

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Adrian HarrisCenter for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA.ORCID 0009-0008-1124-9190
Jemar R BatherCenter for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0003-4282-9338
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Richard L BradshawDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
Lauren Kaiser-JacksonHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Rachel MonahanPerlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
Wendy KohlmannHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Feng LiuCenter for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA.
Ophira GinsburgCenter for Global Health, National Cancer Institute, Rockville, MD, USA.
Melody S GoodmanCenter for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA.
Kimberly A KaphingstHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

Funding

Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery modelsU01CA232826 · NCI · UNIVERSITY OF UTAH · PI KAPHINGST, KIMBERLY A, SIGIREDDI, MEENAKSHI · 2018 to 2022
$5.5M
GARDE: Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA274582 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI GUILHERME DEL FIOL, Kensaku Kawamoto · 2023 to 2026
$3.3M
NCI NIH HHS U01 CA232826NCI NIH HHS U24 CA274582
6 · The paper itself

Abstract

backgroundWe examined neighborhood characteristics concerning breast cancer screening annual adherence during the COVID-19 pandemic.

methodsWe analyzed 6673 female patients aged 40 or older at increased inherited cancer risk in 2 large health care systems (NYU Langone Health [NYULH] and the University of Utah Health [UHealth]). Multinomial models were used to identify predictors of mammogram screening groups (non-adherent, pre-pandemic adherent, pandemic period adherent) in comparison to adherent females. Potential determinants included sociodemographic characteristics and neighborhood factors.

resultsComparing each cancer group in reference to the adherent group, a reduced likelihood of being non-adherent was associated with older age (OR: 0.97, 95% CI: 0.95, 0.99), a greater number of relatives with cancer (OR: 0.80, 95% CI: 0.75, 0.86), and being seen at NYULH study site (OR: 0.42, 95% CI: 0.29, 0.60). More relatives with cancer were correlated with a lesser likelihood of being pandemic period adherent (OR: 0.89, 95% CI: 0.81, 0.97). A lower likelihood of being pre-pandemic adherent was seen in areas with less education (OR: 0.77, 95% CI: 0.62, 0.96) and NYULH study site (OR: 0.35, 95% CI: 0.22, 0.55). Finally, greater neighborhood deprivation (OR: 1.47, 95% CI: 1.08, 2.01) was associated with being non-adherent.

conclusionBreast screening during the COVID-19 pandemic was associated with being older, having more relatives with cancer, residing in areas with less educational attainment, and being seen at NYULH; non-adherence was linked with greater neighborhood deprivation. These findings may mitigate risk of clinically important screening delays at times of disruptions in a population at greater risk for breast cancer.

Indexed as

Breast NeoplasmsCOVID-19Early Detection of CancerAdultAgedFemaleGenetic Predisposition to DiseaseHumansMammographyMiddle AgedPatient ComplianceRisk FactorsSARS-CoV-2United Statescancer screeningCOVID-19educationelectronic health recordshealth inequitiesinherited riskmammogramsneighborhood barriersracial disparitiesstructural barriers

Identifiers

PMID39420801
PMCPMC11489983

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.