Evidence map›Paper›PMID 41586601›Full record

ArticleMicrobiology spectrum2026

Evaluation of the STANDARD M10 Flu/RSV/SARS-CoV-2 Fast assay for the detection of influenza A/B viruses, respiratory syncytial virus, and SARS-CoV-2 in nasopharyngeal swab specimens.

Eunjung Jeong, Minhee Kang, Sun Ae Yun, Tae Yeul Kim, Hee Jae Huh

Abstract readEvaluation Study
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Eunjung Jeong *Biomedical Engineering Research Center, Smart Healthcare Research Institute, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-4119-4628
Minhee Kang *Biomedical Engineering Research Center, Smart Healthcare Research Institute, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-0330-7828
Sun Ae YunResearch Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
Tae Yeul KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-6405-5305
Hee Jae HuhDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-8999-7561

Funding

Korea Health Industry Development Institute RS-2024-00332244Korea Health Industry Development Institute RS-2025-02232997SD Biosensor
6 · The paper itself

Abstract

The STANDARD M10 Flu/RSV/SARS-CoV-2 Fast assay (M10 Fast), recently CE-marked, is an updated version of the STANDARD M10 Flu/RSV/SARS-CoV-2 assay. It includes additional gene targets to improve sensitivity and coverage and reduces run time from 60 min to 36 min. This study evaluated the analytical and clinical performance of the M10 Fast assay. A total of 664 nasopharyngeal swab specimens (108 influenza A-positive, 119 influenza B-positive, 79 respiratory syncytial virus [RSV]-positive, 165 SARS-CoV-2-positive, 2 influenza A/RSV co-positive, 1 RSV/SARS-CoV-2 co-positive, and 190 negative), confirmed by the BIOFIRE Respiratory Panel 2.1

Indexed as

COVID-19Influenza A virusInfluenza B virusInfluenza, HumanNasopharynxRespiratory Syncytial VirusesRespiratory Syncytial Virus InfectionsSARS-CoV-2HumansRapid Diagnostic TestsRespiratory Syncytial Virus, HumanSensitivity and SpecificityAllplexevaluationinfluenzaM10 fastRSVSARS-CoV-2

Identifiers

PMID41586601
PMCPMC12955378

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.