Evidence map›Paper›PMID 40097175›Full record

ArticleAnnals of laboratory medicine2025

Sensitivity and Specificity of an All-in-one Cartridge-based Dengue Real-time Reverse Transcription-PCR for Point-of-care Detection and Serotyping of Dengue Virus in Samples from Indonesian Patients.

Marsha S Santoso, Eggi Arguni, Bunga Rana, Mercy E Adiniko, Dionisius Denis, Endah Supriyati, Citra Indriani, Leily Trianty, Riris Andono Ahmad, Rintis Noviyanti and 1 more

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Marsha S SantosoExeins Health Initiative, Jakarta, Indonesia.ORCID 0000-0002-1644-6213
Eggi ArguniCenter for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0001-7462-7904
Bunga RanaExeins Health Initiative, Jakarta, Indonesia.ORCID 0009-0000-5209-6356
Mercy E AdinikoExeins Health Initiative, Jakarta, Indonesia.ORCID 0009-0005-4361-2773
Dionisius DenisExeins Health Initiative, Jakarta, Indonesia.ORCID 0000-0002-2911-9705
Endah SupriyatiCenter for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0002-9912-1608
Citra IndrianiCenter for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0002-2884-5916
Leily TriantyEijkman Research Center for Molecular Biology, National Research and Innovation Agency, Cibinong, Bogor, Indonesia.ORCID 0000-0002-4368-476X
Riris Andono AhmadCenter for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0001-9340-3922
Rintis NoviyantiEijkman Research Center for Molecular Biology, National Research and Innovation Agency, Cibinong, Bogor, Indonesia.ORCID 0000-0003-1383-3274
R Tedjo SasmonoEijkman Research Center for Molecular Biology, National Research and Innovation Agency, Cibinong, Bogor, Indonesia.ORCID 0000-0003-0986-2590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: : Dengue is a systemic, viral, mosquito-borne infection that continues to be a major public health issue in endemic regions in tropical and subtropical climates. Accurate tests for rapid diagnosis in point-of-care settings are important to reduce the fatality rates of severe dengue. We evaluated the diagnostic accuracy of the Standard M10 DENV 1-4 system (SD Biosensor, Gyeonggi, Korea), which is a cartridge-based, automated system that integrates nucleic acid extraction, reverse transcription-PCR (RT-PCR) amplification, and detection of dengue virus (DENV) serotypes. Methods: : This was a retrospective diagnostic evaluation study. The index test, Standard M10 DENV 1-4, was evaluated using 320 dengue-positive and 279 dengue-negative archived samples. The reference tests were a combination of Centers for Disease Control and Prevention (CDC) DENV 1-4 real-time RT-PCR, dengue NS1 antigen and IgM antibody detection, and DENV whole-genome sequencing. Results: : The overall sensitivity and specificity of Standard M10 DENV 1-4 were 94% and 100%, respectively. By serotype, the highest sensitivity was 100% for DENV-1, and the lowest was 82% for DENV-4. The overall between the CDC RT-PCR dengue serotyping method and the Standard M10 DENV 1-4 was 95%. Standard M10 DENV 1-4 RT-PCR had comparable sensitivity and specificity to CDC DENV RT-PCR. Conclusions: : Based on its commensurate performance to an established RT-PCR method combined with additional benefits of convenient storage and transport, easy use, and rapid processing, the Standard M10 DENV 1-4 system has potential for DENV detection and serotyping in point-of-care settings.

Indexed as

DengueDengue VirusReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionAntibodies, ViralHumansImmunoglobulin MIndonesiaPoint-of-Care SystemsRetrospective StudiesRNA, ViralSensitivity and SpecificitySerotypingViral Nonstructural ProteinsAntibodies, ViralImmunoglobulin MRNA, ViralViral Nonstructural ProteinsDengueDiagnostic accuracyPoint-of-Care testingSensitivitySpecificity

Identifiers

PMID40097175
PMCPMC12370802

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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.