Evidence map›Paper›PMID 33379279›Full record

ArticleMicroorganisms2020

Performance of a Point-of-Care Test for the Rapid Detection of SARS-CoV-2 Antigen.

Annabelle Strömer, Ruben Rose, Miriam Schäfer, Frieda Schön, Anna Vollersen, Thomas Lorentz, Helmut Fickenscher, Andi Krumbholz

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 6 pooled it
2.0field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 6 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2022
    Pooled it
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  7. Observational
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  15. Review
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  17. Prospective evaluation of the point-of-care use of a rapid antigenic SARS-CoV-2 immunochromatographic test in a paediatric emergency department.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Article
  18. Article
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  20. Review
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 1 institution in 1 country.

Annabelle StrömerInstitute for Infection Medicine, Christian-Albrecht University and University Medical Center Schleswig-Holstein, Brunswiker Str. 4, 24105 Kiel, Germany.
Ruben RoseInstitute for Infection Medicine, Christian-Albrecht University and University Medical Center Schleswig-Holstein, Brunswiker Str. 4, 24105 Kiel, Germany.
Miriam SchäferLabor Dr. Krause und Kollegen MVZ GmbH, Steenbeker Weg 23, 24106 Kiel, Germany.
Frieda SchönLabor Dr. Krause und Kollegen MVZ GmbH, Steenbeker Weg 23, 24106 Kiel, Germany.
Anna VollersenLabor Dr. Krause und Kollegen MVZ GmbH, Steenbeker Weg 23, 24106 Kiel, Germany.ORCID 0000-0002-8594-4005
Thomas LorentzLabor Dr. Krause und Kollegen MVZ GmbH, Steenbeker Weg 23, 24106 Kiel, Germany.
Helmut FickenscherInstitute for Infection Medicine, Christian-Albrecht University and University Medical Center Schleswig-Holstein, Brunswiker Str. 4, 24105 Kiel, Germany.
Andi KrumbholzInstitute for Infection Medicine, Christian-Albrecht University and University Medical Center Schleswig-Holstein, Brunswiker Str. 4, 24105 Kiel, Germany.
Christian-Albrechts-Universität zu Kiel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid detection of infections caused by the

Indexed as

antigencomparisonCOVID-19diagnosticPCRPOCT

Identifiers

PMID33379279
PMCPMC7823488
OpenAlexW3116503590

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.