Evidence map›Paper›PMID 34032985›Full record

ArticleBreast cancer research and treatment2021

Impact of the COVID-19 pandemic on breast cancer screening volumes and patient screening behaviors.

Matthew M Miller, Max O Meneveau, Carrie M Rochman, Anneke T Schroen, Courtney M Lattimore, Patricia A Gaspard, Richard S Cubbage, Shayna L Showalter

Open access · bronzeAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
6.2field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Matthew M MillerDepartment of Radiology and Medical Imaging, University of Virginia Health System, 1215 Lee St., Charlottesville, VA, 22903, USA. matthew.miller@virginia.edu.ORCID http://orcid.org/0000-0003-3174-0610
Max O MeneveauDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
Carrie M RochmanDepartment of Radiology and Medical Imaging, University of Virginia Health System, 1215 Lee St., Charlottesville, VA, 22903, USA.
Anneke T SchroenDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
Courtney M LattimoreDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
Patricia A GaspardDepartment of Radiology and Medical Imaging, University of Virginia Health System, 1215 Lee St., Charlottesville, VA, 22903, USA.
Richard S CubbageDepartment of Radiology and Medical Imaging, University of Virginia Health System, 1215 Lee St., Charlottesville, VA, 22903, USA.
Shayna L ShowalterDepartment of Surgery, University of Virginia School of Medicine, Charlottesville, VA, USA.
University of Virginia · USUniversity of Virginia Health System · US

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
Evaluation of image-guided, conformal, high-dose intraoperative radiation therapy (Precision Breast IORT) for early stage breast cancerR01CA214594 · NCI · UNIVERSITY OF VIRGINIA · PI SHOWALTER, SHAYNA LEFRAK, SHOWALTER, TIMOTHY NORMAN · 2018 to 2022
$1.9M
NCI NIH HHS R01 CA214594NCI NIH HHS T32 CA163177
6 · The paper itself

Abstract

purposeIn order to facilitate targeted outreach, we sought to identify patient populations with a lower likelihood of returning for breast cancer screening after COVID-19-related imaging center closures.

methodsWeekly total screening mammograms performed throughout 2019 (baseline year) and 2020 (COVID-19-impacted year) were compared. Demographic and clinical characteristics, including age, race, ethnicity, breast density, breast cancer history, insurance status, imaging facility type used, and need for interpreter, were compared between patients imaged from March 16 to October 31 in 2019 (baseline cohort) and 2020 (COVID-19-impacted cohort). Census data and an online map service were used to impute socioeconomic variables and calculate travel times for each patient. Logistic regression was used to identify patient characteristics associated with a lower likelihood of returning for screening after COVID-19-related closures.

resultsThe year-over-year cumulative difference in screening mammogram volumes peaked in week 21, with 2962 fewer exams in the COVID-19-impacted year. By week 47, this deficit had reduced by 49.4% to 1498. A lower likelihood of returning for screening after COVID-19-related closures was independently associated with younger age (odds ratio (OR) 0.78, p < 0.001), residence in a higher poverty area (OR 0.991, p = 0.014), lack of health insurance (OR 0.65, p = 0.007), need for an interpreter (OR 0.68, p = 0.029), longer travel time (OR 0.998, p < 0.001), and utilization of mobile mammography services (OR 0.27, p < 0.001).

conclusionSeveral patient factors are associated with a lower likelihood of returning for screening mammography after COVID-19-related closures. Knowledge of these factors can guide targeted outreach to vulnerable patients to facilitate breast cancer screening.

Indexed as

Breast NeoplasmsCOVID-19Early Detection of CancerFemaleHumansMammographyMass ScreeningPandemicsSARS-CoV-2Breast cancerCOVID-19 pandemicPatient travel timeScreening mammography

Identifiers

PMID34032985
PMCPMC8145189
OpenAlexW3164959262

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.