Evidence map›Paper›PMID 39861895›Full record

ArticleViruses2025

Clinical Performance of MAGLUMI Diagnostic Tests for the Automated Detection of Dengue Virus.

Bo Peng, Zhonggang Fang, Cong Li, Kun Liu, Ting Wang, Ke Huang, Fan Yang, Yalan Huang, Chunli Wu, Yue Li and 6 more

Abstract read
In one paragraph

Article in Viruses, 2025. 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

16 authors.

Bo PengMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.ORCID 0000-0001-5432-3225
Zhonggang FangResearch & Development Department, Shenzhen New Industries Biomedical Engineering Co., Ltd., No. 23, Jinxiu East Road, Pingshan District, Shenzhen 518122, China.
Cong LiResearch & Development Department, Shenzhen New Industries Biomedical Engineering Co., Ltd., No. 23, Jinxiu East Road, Pingshan District, Shenzhen 518122, China.
Kun LiuResearch & Development Department, Shenzhen New Industries Biomedical Engineering Co., Ltd., No. 23, Jinxiu East Road, Pingshan District, Shenzhen 518122, China.
Ting WangResearch & Development Department, Shenzhen New Industries Biomedical Engineering Co., Ltd., No. 23, Jinxiu East Road, Pingshan District, Shenzhen 518122, China.
Ke HuangResearch & Development Department, Shenzhen New Industries Biomedical Engineering Co., Ltd., No. 23, Jinxiu East Road, Pingshan District, Shenzhen 518122, China.
Fan YangMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Yalan HuangMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Chunli WuMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Yue LiMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Dana HuangMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Qian ZhangMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Yijun TangMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Xiaolian LiuMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Wei RaoResearch & Development Department, Shenzhen New Industries Biomedical Engineering Co., Ltd., No. 23, Jinxiu East Road, Pingshan District, Shenzhen 518122, China.ORCID 0009-0001-3625-3208
Xiaolu ShiMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.

Funding

Sanming Project of Medicine in Shenzhen SZSM202211023the Opening Foundation of State Key Laboratory of Pathogen and Biosecurity SKLPBS2244
6 · The paper itself

Abstract

aimsThe screening and diagnosis of dengue virus infection play a crucial role in controlling the epidemic of dengue fever, highlighting the urgent need for a highly sensitive, simple, and rapid laboratory testing method. This study aims to assess the clinical performance of MAGLUMI Denv NS1 in detecting dengue virus NS1 antigen.

methodsA retrospective study was conducted to assess the sensitivity and specificity of MAGLUMI Denv NS1 using residual samples. Dengue-confirmed and excluded samples, validated by qPCR, were subjected to testing with MAGLUMI Denv NS1 in accordance with the manufacturer's instructions. The linear range, endogenous interference, and cross-reactivity of MAGLUMI Denv NS1 were verified, and a consistency analysis with commercial comparator products was carried out.

resultsThe diagnostic specificity of MAGLUMI Denv NS1 is 98.41% (62/63), and the sensitivity is 98.32% (117/119). It effectively detects various serotypes of dengue virus, with no observed endogenous interference or cross-reactivity. Additionally, the consistency of NS1, IgM, and IgG tests on the MAGLUMI platform compared to commercial comparator reagents reaches 85.71%, 99.25%, and 98.97%, respectively.

conclusionsThe MAGLUMI Denv NS1 represents a highly sensitive laboratory testing method capable of enhancing the diagnostic accuracy and efficiency of dengue virus infection detection.

Indexed as

DengueDengue VirusDiagnostic Tests, RoutineViral Nonstructural ProteinsAntibodies, ViralAntigens, ViralCross ReactionsHumansImmunoglobulin GImmunoglobulin MRetrospective StudiesSensitivity and SpecificityAntibodies, ViralAntigens, ViralImmunoglobulin GImmunoglobulin MViral Nonstructural Proteinsantigenchemiluminescence immunoassaydengue virusNS1

Identifiers

PMID39861895
PMCPMC11768712

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LicenceCC BY
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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.