Evidence map›Paper›PMID 35262024›Full record

ArticleJournal of clinical virology plus2021

Multi-center evaluation of Cepheid Xpert® Xpress SARS-CoV-2/Flu/RSV molecular point-of-care test.

John Sluimer, Gabriel Goderski, Sharon van den Brink, Maaike Broeders, Janette Rahamat-Langendoen, Euníce Then, Lisa Wijsman, Femke Wolters, Jeroen van de Bovenkamp, Willem Jg Melchers and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical virology plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  8. Rapid Evaluation of the XpertDiagnostics (Basel, Switzerland) · 2022
    Article
  9. Article
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

11 authors at 4 institutions in 1 country.

John SluimerNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, Netherlands.
Gabriel GoderskiNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, Netherlands.
Sharon van den BrinkNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, Netherlands.
Maaike BroedersLaboratory for Medical Microbiology, PAMM Laboratories, Veldhoven, Netherlands.
Janette Rahamat-LangendoenDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, Netherlands.
Euníce ThenNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, Netherlands.
Lisa WijsmanNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, Netherlands.
Femke WoltersDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, Netherlands.
Jeroen van de BovenkampLaboratory for Medical Microbiology, PAMM Laboratories, Veldhoven, Netherlands.
Willem Jg MelchersDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, Netherlands.
Adam MeijerNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Centre for Infectious Diseases Research, Diagnostics and Laboratory Surveillance, Bilthoven, Netherlands.
National Institute for Public Health and the Environment · NLPAMM · NLRadboud University Medical Center · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARS-CoV-2 is taking a huge toll on society while influenza and RSV detection are also becoming more important. These viruses pose a high burden on health care. Rapid and accurate diagnostics for these pathogens are important for swift triage in the hospital. Fast molecular point of care test (mPOCT) assays for these pathogens can prove an alternative. Here a multi-center evaluation of the Xpert® Xpress SARS-CoV-2/Flu/RSV assay is reported. Study design: The Xpert® Xpress SARS-CoV-2/Flu/RSV assay was compared to three reference assays at three Dutch medical microbiology laboratories. An external quality assessment panel consisting of 16 specimens containing SARS-CoV-2, influenza viruses, RSV or human seasonal coronaviruses, or a combination thereof were used. Clinical specimens containing SARS-CoV-2 ( Results: The Xpert® Xpress SARS-CoV-2/Flu/RSV assay showed equal performance compared to the reference assays. All SARS-CoV-2 variants of interest and variants of concern were accurately detected. Human seasonal coronaviruses were not detected. All four circulating seasonal influenza virus subtypes/lineages and both RSV types were accurately detected as well as a set of recent zoonotic avian and swine influenza viruses. The clinical specimens showed 98.2% concordance using this assay. Conclusion: The Xpert® Xpress SARS-CoV-2/Flu/RSV assay is a good alternative for accurate detection for SARS-CoV-2, influenza type A virus, influenza type B virus and RSV types A and B detection in a short timeframe.

Indexed as

COVID-19Influenza virusMolecular point-of-care testRSVSARS-CoV-2Xpert Xpress

Identifiers

PMID35262024
PMCPMC8461038
OpenAlexW3202941980

What OpenQuestion holds

Textmetadata
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.