Evidence map›Paper›PMID 36047313›Full record

ArticleInfection control and hospital epidemiology2023

Estimate of undetected severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection in acute-care hospital settings using an individual-based microsimulation model.

Kasey Jones, Emily Hadley, Sandy Preiss, Eric T Lofgren, Donald P Rice, Marie C D Stoner, Sarah Rhea, Joëlla W Adams

Open access · hybridAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2023. 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
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 4 institutions in 1 country.

Kasey JonesRTI International, Research Triangle, North Carolina.
Emily HadleyRTI International, Research Triangle, North Carolina.ORCID https://orcid.org/0000-0003-0074-4344
Sandy PreissRTI International, Research Triangle, North Carolina.
Eric T LofgrenPaul G. Allen School for Global Health, Washington State University, Pullman, Washington.ORCID https://orcid.org/0000-0003-2052-7240
Donald P RiceDivision of Infectious Disease, Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island.ORCID https://orcid.org/0000-0002-6207-7922
Marie C D StonerRTI International, Research Triangle, North Carolina.ORCID https://orcid.org/0000-0002-7189-8669
Sarah RheaDepartment of Population Health and Pathobiology, North Carolina State University, Raleigh, North Carolina.ORCID https://orcid.org/0000-0002-6183-1620
Joëlla W AdamsRTI International, Research Triangle, North Carolina.ORCID https://orcid.org/0000-0002-7703-5944
RTI International · USBrown University · USNorth Carolina State University · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCurrent guidance states that asymptomatic screening for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) prior to admission to an acute-care setting is at the facility's discretion. This study's objective was to estimate the number of undetected cases of SARS-CoV-2 admitted as inpatients under 4 testing approaches and varying assumptions. DESIGN AND

settingIndividual-based microsimulation of 104 North Carolina acute-care hospitals. PATIENTS: All simulated inpatient admissions to acute-care hospitals from December 15, 2021, to January 13, 2022 [ie, during the SARS-COV-2 ο (omicron) variant surge].

interventionsWe simulated (1) only testing symptomatic patients, (2) 1-stage antigen testing with no confirmatory polymerase chain reaction (PCR) test, (3) 1-stage antigen testing with a confirmatory PCR for negative results, and (4) serial antigen screening (ie, repeat antigen test 2 days after a negative result).

resultsOver 1 month, there were 77,980 admissions: 13.7% for COVID-19, 4.3% with but not for COVID-19, and 82.0% for non-COVID-19 indications without current infection. Without asymptomatic screening, 1,089 (credible interval [CI], 946-1,253) total SARS-CoV-2 infections (7.72%) went undetected. With 1-stage antigen screening, 734 (CI, 638-845) asymptomatic infections (67.4%) were detected, with 1,277 false positives. With combined antigen and PCR screening, 1,007 (CI, 875-1,159) asymptomatic infections (92.5%) were detected, with 5,578 false positives. A serial antigen testing policy detected 973 (CI, 845-1,120) asymptomatic infections (89.4%), with 2,529 false positives.

conclusionsSerial antigen testing identified >85% of asymptomatic infections and resulted in fewer false positives with less cost per identified infection compared to combined antigen plus PCR testing.

Indexed as

COVID-19Asymptomatic InfectionsCOVID-19 TestingHospitalsHumansSARS-CoV-2

Identifiers

PMID36047313
PMCPMC9433748
OpenAlexW4294129683

What OpenQuestion holds

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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.