Evidence map›Paper›PMID 35206878›Full record

ArticleHealthcare (Basel, Switzerland)2022

Impact of the COVID-19 Pandemic on Colorectal and Prostate Cancer Screening in a Large U.S. Health System.

Amar H Kelkar, Jing Zhao, Shu Wang, Christopher R Cogle

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Amar H KelkarDivision of Hematology and Oncology, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0001-7627-8509
Jing ZhaoDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA.
Shu WangDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0001-9813-6069
Christopher R CogleDivision of Hematology and Oncology, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0001-5422-6863

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1TR001427
6 · The paper itself

Abstract

During the first year of the coronavirus disease 2019 (COVID-19) pandemic, prevention measures included quarantining and facility closures. Because cancer screening is dependent on interventions in facilities, the extent of the COVID-19 impact on screening was questioned. A claims registry from a large health system was queried for colorectal and prostate cancer screening. A screening gap and screening loss ratio were calculated by comparing 2020 screening to historical reference years. All cancer screenings decreased in the first four months of the pandemic. Colorectal cancer screening returned to baseline in the latter six months of 2020. Prostate cancer screening exceeded baseline in the latter six months, but with a lesser gain than previous years. Populations disproportionately affected by decreased cancer screening included men and black people. To catch-up after the initial deficit in screening, it is estimated that the rate of colorectal cancer screening needs to increase by 50%.

Indexed as

cancer screeningcolorectal cancerCOVID-19health disparitieshealth policyprostate cancerpublic health

Identifiers

PMID35206878
PMCPMC8871935

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.