Evidence map›Paper›PMID 38189291›Full record

ArticleMicrobiology spectrum2024

Assessment of the clinical and analytical performance of three Seegene Allplex SARS-CoV-2 assays within the VALCOR framework.

Pui Yan Jenny Chung, Sharonjit K Dhillon, Cindy Simoens, Lize Cuypers, Lies Laenen, Jesper Bonde, Philippe Corbisier, Gerhard Buttinger, Clementina E Cocuzza, Steven Van Gucht and 2 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Pui Yan Jenny ChungUnit of Cancer Epidemiology, Belgian Cancer Centre, Sciensano, Brussels, Belgium.ORCID 0009-0008-2327-3059
Sharonjit K DhillonUnit of Cancer Epidemiology, Belgian Cancer Centre, Sciensano, Brussels, Belgium.
Cindy SimoensUnit of Cancer Epidemiology, Belgian Cancer Centre, Sciensano, Brussels, Belgium.
Lize CuypersDepartment of Laboratory Medicine, National Reference Centre for Respiratory Pathogens, University Hospitals Leuven, Leuven, Belgium.
Lies LaenenDepartment of Laboratory Medicine, National Reference Centre for Respiratory Pathogens, University Hospitals Leuven, Leuven, Belgium.
Jesper BondeMolecular Pathology Laboratory, Department of Pathology, AHH-Hvidovre Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Philippe CorbisierJoint Research Centre (JRC), European Commission, Geel, Belgium.
Gerhard ButtingerJoint Research Centre (JRC), European Commission, Geel, Belgium.
Clementina E CocuzzaLaboratory of Clinical Microbiology and Virology, Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.ORCID 0000-0001-6166-1134
Steven Van GuchtService of Viral Diseases, Sciensano, Brussels, Belgium.
Marc Van RanstLaboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Marc ArbynUnit of Cancer Epidemiology, Belgian Cancer Centre, Sciensano, Brussels, Belgium.ORCID 0000-0001-7807-5908

Funding

Belgische Federale Overheidsdiensten (Belgian Federal Government)
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic demonstrated the need for accurate diagnostic testing for the early detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although the pandemic has ended, accurate assays are still needed to monitor viral spread at national levels and beyond through population and wastewater surveillance. To enhance early detection, SARS-CoV-2 assays should have high diagnostic accuracy and should be validated to assure accurate results. Three distinct SARS-CoV-2 assays were evaluated with clinical samples using the VALCOR (VALidation of SARS-CORona Virus-2 assays) framework, with the TaqPath COVID-19 assay (ThermoFisher Scientific, USA) as a comparator. We evaluated clinical sensitivity, specificity, limit of detection (LOD), and overall concordance between comparator and three index Allplex SARS-CoV-2 assays (Seegene, South Korea): Allplex-SC2, Allplex-SC2Fast (Fast PCR), and Allplex-SC2FabR (SARS-CoV-2/FluA/FluB/respiratory syncytial virus). Analytical performance and LOD of index assays were assessed using a dilution series of three synthetic SARS-CoV-2 sequence reference materials (RMs). Ninety SARS-CoV-2 positives and 90 SARS-CoV-2 negatives were tested. All Allplex assays had 100.0% sensitivity (95%CI = 95.9%-100.0%). Allplex-SC2 and Allplex-SC2Fast assays had 97.8% specificity (95%CI = 92.3%-99.7%) and 98.9% overall concordance [

Indexed as

COVID-19SARS-CoV-2HumansSensitivity and SpecificityWastewaterWastewater-Based Epidemiological MonitoringWastewaterAllplexCOVID-19diagnostics test accuracyquality controlreference materialRT-PCRSARS-CoV-2Seegenestandardtest validationVALCOR

Identifiers

PMID38189291
PMCPMC10846132

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Registered trials

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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.