Evidence map›Paper›PMID 40787097›Full record

ArticleJournal of tropical medicine2025

Evaluation of a Fully Automated Assay for Detection of Antidengue IgM Antibodies in a Nonendemic Area.

Aurélie Guigon, Pauline Coulon, Laura Pezzi, Alexandre Regueme, Cyril Debuysschere, Mouna Lazrek, Didier Hober, Enagnon Kazali Alidjinou

Abstract read
In one paragraph

Article in Journal of tropical medicine, 2025. 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

8 authors.

Aurélie GuigonLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.
Pauline CoulonLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.
Laura PezziEmerging Viruses Unit, Aix-Marseille Univ, Università di Corsica, IRD 190, Inserm 1207, IRBA, Marseille, France.ORCID https://orcid.org/0000-0001-7921-9221
Alexandre ReguemeLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.
Cyril DebuysschereLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.
Mouna LazrekLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.
Didier HoberLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.
Enagnon Kazali AlidjinouLaboratory of Virology ULR 3610, Lille University, University Hospital of Lille, Lille, France.ORCID https://orcid.org/0000-0002-1106-9826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current French guidelines on the diagnosis of dengue infection recommend both nucleic acid testing and serology as tools for laboratory confirmation. This study aimed to evaluate the performance of the fully automated Virclia IgM assay for the diagnosis of dengue infection. Samples from patients with a suspicion of dengue were prospectively tested using the Virclia Dengue IgM assay (Vircell) and subsequently underwent additional investigations (dengue RT-PCR and conventional dengue IgM EIA) at the French Reference Center for Arboviruses. A total of 104 patients were included with a median age of 34.3 years old and a median time since symptom (TSS) of 6 days. Dengue RT-PCR was positive in 57 patients (54.8%). The agreement was excellent (90.5%;

Indexed as

automated assaydenguediagnosisIgM antibodiesRT-PCR

Identifiers

PMID40787097
PMCPMC12334283

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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.