Evidence map›Paper›PMID 35660641›Full record

ArticleAnnals of epidemiology2022

SARS-CoV-2 pandemic in New York metropolitan area: the view from a major urgent care provider.

Madhura S Rane, Angela Profeta, Emily Poehlein, Sarah Kulkarni, McKaylee Robertson, Chris Gainus, Ashish Parikh, Kerry LeBenger, Daniel Frogel, Denis Nash

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PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Madhura S RaneInstitute for Implementation Science in Population Health, City University of New York. New York, NY. Electronic address: madhura.rane@sph.cuny.edu.
Angela ProfetaCityMD/Summit Medical Group, New York, NY.
Emily PoehleinInstitute for Implementation Science in Population Health, City University of New York. New York, NY.
Sarah KulkarniInstitute for Implementation Science in Population Health, City University of New York. New York, NY.
McKaylee RobertsonInstitute for Implementation Science in Population Health, City University of New York. New York, NY.
Chris GainusCityMD/Summit Medical Group, New York, NY.
Ashish ParikhCityMD/Summit Medical Group, New York, NY.
Kerry LeBengerCityMD/Summit Medical Group, New York, NY.
Daniel FrogelCityMD/Summit Medical Group, New York, NY.
Denis NashInstitute for Implementation Science in Population Health, City University of New York. New York, NY; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York. New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTracking severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and positivity trends is crucial for understanding the trajectory of the pandemic. We describe demographic and clinical characteristics, testing, and positivity rates for SARS-CoV-2 among 2.8 million patients evaluated at an urgent care provider.

methodsWe conducted a retrospective study of patients receiving a diagnostic or serologic test for SARS-CoV-2 between March 1, 2020 and July 20, 2021 at 115 CityMD locations in the New York metropolitan area. Temporal trends in SARS-CoV-2 positivity by diagnostic and serologic tests stratified by age, sex, race/ethnicity, and borough of residence were assessed.

resultsDuring the study period, 6.1 million COVID diagnostic and serological tests were performed on 2.8 million individuals. Testing levels were higher among 20-29-year-old, non-Hispanic White, and female patients compared with other groups. About 35% were repeat testers. Reverse transcriptase polymerase chain reaction positivity was higher in non-Hispanic Black (7.9%), Hispanic (8.2%), and Native American (8.2%) compared to non-Hispanic White (5.7%) patients. Overall seropositivity was estimated to be 22.1% (95% confidence interval: 22.0-22.2) and was highest among 10-14 year olds (27.9%), and non-Hispanic Black (26.0%) and Hispanic (31.0%) testers.

conclusionUrgent care centers can provide broad access to diagnostic testing and critical evaluation for ambulatory patients during pandemics, especially in population-dense, urban epicenters.  Urgent care center electronic medical records data can provide in-depth surveillance during pandemics complementary to citywide health department data sources.

Indexed as

COVID-19SARS-CoV-2AdultAmbulatory CareFemaleHumansNew YorkPandemicsRetrospective StudiesYoung AdultCOVID-19 health inequitiesCovid-19 trendsElectronic medical recordsUrgent Care Center

Identifiers

PMID35660641
PMCPMC9159971

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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.