Evidence map›Paper›PMID 35850427›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Validation of the NeuMoDx™ SARS-CoV-2 assay with COPAN eNAT® and E&O Viral PCR Sample Solution collection media types in comparison with other validated SARS-CoV-2 RNA assays.

Daniel Baird, Alana Muir, Lisa Logan, Mairiead MacLennan

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Daniel BairdDepartment of Medical Microbiology and Infection Control, North Laboratory, Victoria Hospital, NHS Fife, Kirkcaldy, United Kingdom.
Alana MuirDepartment of Medical Microbiology and Infection Control, North Laboratory, Victoria Hospital, NHS Fife, Kirkcaldy, United Kingdom.
Lisa LoganDepartment of Medical Microbiology and Infection Control, North Laboratory, Victoria Hospital, NHS Fife, Kirkcaldy, United Kingdom.
Mairiead MacLennanDepartment of Medical Microbiology and Infection Control, North Laboratory, Victoria Hospital, NHS Fife, Kirkcaldy, United Kingdom. Electronic address: mairiead.maclennan@nhs.scot.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to confirm NeuMoDx™ SARS-CoV-2 assay (NeuMoDx assay) functionality using off-label collection media, determine assay performance versus other SARS-CoV-2 RNA assays, and assess any cross-reactivity with other respiratory viruses (human coronavirus NL63, influenza, and respiratory syncytial virus).

methodsNasopharyngeal swab samples in off-label collection media and external quality assessment (EQA) samples were dual-tested, first using either the RealStar® SARS-CoV-2 reverse transcriptase polymerase chain reaction assay or the QIAstat-Dx® Respiratory SARS-CoV-2 Panel and then using the NeuMoDx assay. Samples found to be positive for respiratory viruses and negative for SARS-CoV-2 were then tested using the NeuMoDx assay to assess cross-reactivity.

resultsOverall, 274 samples (244 patient and 30 EQA samples) were dual-tested; 154 were SARS-CoV-2 positive and 120 were negative. No false-positive or false-negative results were identified, regardless of collection medium used. The NeuMoDx assay sensitivity was 100% (95% confidence interval [CI] 97.63-100.00) and the specificity was 100% (95% CI 96.97-100.00). The assay did not exhibit any cross-reactivity with other respiratory viruses.

conclusionThe NeuMoDx assay demonstrated high sensitivity and specificity on a platform well-suited for fully automated SARS-CoV-2 testing.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansPolymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, ViralCOVID-19Diagnostic assayNeuMoDxRapid testingRT-PCRSARS-CoV-2

Identifiers

PMID35850427
PMCPMC9287588

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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.