Evidence map›Paper›PMID 34213977›Full record

ArticleJournal of clinical microbiology2021

Evaluation of a Rapid Antigen Test To Detect SARS-CoV-2 Infection and Identify Potentially Infectious Individuals.

Michael Korenkov, Nareshkumar Poopalasingam, Matthias Madler, Kanika Vanshylla, Ralf Eggeling, Maike Wirtz, Irina Fish, Felix Dewald, Lutz Gieselmann, Clara Lehmann and 5 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  19. SARS-CoV-2 viral load and shedding kinetics.Nature reviews. Microbiology · 2023
    Review
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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

15 authors at 3 institutions in 1 country.

Michael Korenkov *Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Nareshkumar Poopalasingam *Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Matthias MadlerInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Kanika VanshyllaInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Ralf EggelingMethods in Medical Informatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Maike WirtzInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Irina FishInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Felix DewaldInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Lutz GieselmannInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Clara LehmannGerman Center for Infection Research, Partner Site Bonn-Cologne, Cologne, Germany.
Gerd FätkenheuerGerman Center for Infection Research, Partner Site Bonn-Cologne, Cologne, Germany.
Henning GruellInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Nico PfeiferMethods in Medical Informatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Eva HegerInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Florian KleinInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
University of Cologne · DEGerman Center for Infection Research · DEUniversity of Tübingen · DE

Funding

Bundesministerium für Bildung und Forschung (BMBF) 01KX2021
6 · The paper itself

Abstract

The identification and isolation of highly infectious SARS-CoV-2-infected individuals is an important public health strategy. Rapid antigen detection tests (RADT) are promising tools for large-scale screenings due to timely results and feasibility for on-site testing. Nonetheless, the diagnostic performance of RADT in detecting infectious individuals is not yet fully determined. In this study, RT-qPCR and virus culture of RT-qPCR-positive samples were used to evaluate and compare the performance of the Standard Q COVID-19 Ag test in detecting SARS-CoV-2-infected and possibly infectious individuals. To this end, two combined oro- and nasopharyngeal swabs were collected at a routine SARS-CoV-2 diagnostic center. A total of 2,028 samples were tested, and 118 virus cultures were inoculated. SARS-CoV-2 infection was detected in 210 samples by RT-qPCR, representing a positive rate of 10.36%. The Standard Q COVID-19 Ag test yielded a positive result in 92 (4.54%) samples resulting in an overall sensitivity and specificity of 42.86 and 99.89%, respectively. For adjusted

Indexed as

Communicable DiseasesCOVID-19HumansReal-Time Polymerase Chain ReactionSARS-CoV-2Sensitivity and Specificityantigen testinfectiousnessRT-qPCRSARS-CoV-2virus culture

Identifiers

PMID34213977
PMCPMC8373008
OpenAlexW3175185538

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.