Evidence map›Paper›PMID 37966626›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024

Evaluation of the fully automated, sample-to-result Seegene STARlet-AIOS platform for detection of SARS-CoV-2, influenza virus A, influenza virus B, and RSV.

C W E Brouwer, A Russcher, Y Rezek, R H T Nijhuis

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

C W E BrouwerLaboratory for Medical Microbiology and Medical Immunology, Meander Medical Center, Maatweg 3, 3813 TZ, Amersfoort, The Netherlands.
A RusscherLaboratory for Medical Microbiology and Medical Immunology, Meander Medical Center, Maatweg 3, 3813 TZ, Amersfoort, The Netherlands.
Y RezekLaboratory for Medical Microbiology and Medical Immunology, Meander Medical Center, Maatweg 3, 3813 TZ, Amersfoort, The Netherlands.
R H T NijhuisLaboratory for Medical Microbiology and Medical Immunology, Meander Medical Center, Maatweg 3, 3813 TZ, Amersfoort, The Netherlands. rht.nijhuis@meandermc.nl.ORCID http://orcid.org/0000-0003-4203-3858
Meander Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early, accurate, and bulk detection of respiratory pathogens is essential for patient management and infection control. STARlet-All-in-One System (AIOS) (Seegene) is a new, fully automated, sample-to-result, molecular diagnostic platform. This study describes the first evaluation of STARlet-AIOS, by testing the Allplex™ SARS-CoV-2 (AS) and Allplex™ SARS-CoV-2/FluA/FluB/RSV combination (AC) assays in comparison to the SARS-CoV-2 assays used at our institute. Over a 3-week period, all naso-/oropharyngeal specimens tested for SARS-CoV-2 using either GeneXpert, Panther, or in-house developed test (LDT) were tested on the AIOS using the AS or AC assays. In addition, retrospective cohorts of specimens containing SARS-CoV-2, influenza virus A, influenza virus B, and RSV were tested. Discrepant results were re-tested with another assay used in this study. Hands-on time (HOT) and turn-around time (TAT) of the different systems were monitored and compared. A total of 738 specimens were tested on the AIOS using the AS assay. In addition, 210 specimens were tested using the AC assay. Overall agreement for SARS-CoV-2 detection was established as 98.5% and 95.2% for the AS and AC assay, respectively. Retrospective testing revealed high agreements for all targets, except for influenza virus A (agreement of 87.5%). HOT of the system was comparable to the HOT of GeneXpert and Panther and TAT comparable to Panther and LDT. The AIOS proved to be a robust sample-to-result system with low HOT and moderate TAT. This study showed reliable detection of SARS-CoV-2, influenza virus B, and RSV, whereas detection of influenza virus A using the AC assay appeared to be suboptimal.

Indexed as

AlphainfluenzavirusBetainfluenzavirusCOVID-19Influenza A virusInfluenza, HumanHumansInfluenza B virusMolecular Diagnostic TechniquesNasopharynxRetrospective StudiesSARS-CoV-2Sensitivity and SpecificityAutomationInfluenza virusMolecular diagnostic testingReal-time PCRSample-to-resultSARS-CoV-2

Identifiers

PMID37966626
OpenAlexW4388698875

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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.