Evidence map›Paper›PMID 37112887›Full record

ArticleViruses2023

Laboratory Evaluation and Field Testing of Dengue NS1 and IgM/IgG Rapid Diagnostic Tests in an Epidemic Context in Senegal.

Oumar Ndiaye, Kevin Woolston, Aboubacry Gaye, Cheikh Loucoubar, Michael Cocozza, Cheikh Fall, Fatou Dia, Emily R Adams, Marième Samb, Diogop Camara and 7 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 12 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

17 authors at 3 institutions in 3 countries.

Oumar NdiayeDiatropix Unit, Institut Pasteur de Dakar, Dakar BP 220, Senegal.ORCID 0000-0002-0436-6240
Kevin WoolstonGlobal Access Diagnostics, Bedford Technology Park, Bedford MK44 2YA, Bedfordshire, UK.
Aboubacry GayeEpidemiology Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.ORCID 0000-0002-8550-7737
Cheikh LoucoubarEpidemiology Clinical Research and Data Science Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.ORCID 0000-0002-9582-4197
Michael CocozzaGlobal Access Diagnostics, Bedford Technology Park, Bedford MK44 2YA, Bedfordshire, UK.
Cheikh FallMicrobiology Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.ORCID 0000-0001-5405-2824
Fatou DiaDiatropix Unit, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Emily R AdamsGlobal Access Diagnostics, Bedford Technology Park, Bedford MK44 2YA, Bedfordshire, UK.
Marième SambDiatropix Unit, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Diogop CamaraVirology Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Bacary Djilocalisse SadioVirology Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Cheikh T DiagneMivegec Infectious Diseases and Vector: Ecology, Genetics, Evolution and Control, Université Montpellier, IRD, CNRS, 34394 Montpellier, France.ORCID 0000-0002-3499-4934
Manfred WeidmannInstitute of Microbiology and Virology, Medical School Brandenburg Theodor Fontane, D-01968 Senftenberg, Germany.ORCID 0000-0002-7063-7491
Oumar FayeVirology Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.ORCID 0000-0002-3478-1322
Joseph R A FitchettDelivery Unit, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Amadou Alpha SallVirology Department, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Cheikh Tidiane DiagneDiatropix Unit, Institut Pasteur de Dakar, Dakar BP 220, Senegal.
Institut Pasteur de Dakar · SNCentre National de la Recherche Scientifique · FRUniversity of Bedfordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Senegal, the burden of dengue is increasing and expanding. As case management and traditional diagnostic techniques can be difficult to implement, rapid diagnostic tests (RDTs) deployed at point of care are ideal for investigating active outbreaks. The aim of this study was to evaluate the diagnostic performance of the Dengue NS1 and Dengue IgM/IgG RDTs on the serum/plasma samples in a laboratory setting and in the field. During laboratory evaluation, performance of the NS1 RDT was assessed using NS1 ELISA as the gold standard. Sensitivity and specificity were 88% [75-95%] and 100% [97-100%], respectively. Performance of the IgM/IG RDT was assessed using the IgM Antibody Capture (MAC) ELISA, indirect IgG, and PRNT as gold standards. The IgM and IgG test lines respectively displayed sensitivities of 94% [83-99%] and 70% [59-79%] and specificities of 91% [84-95%] and 91% [79-98%]. In the field, the Dengue NS1 RDT sensitivity and specificity was 82% [60-95%] and 75% [53-90%], respectively. The IgM and IgG test lines displayed sensitivities of 86% [42-100%] and 78% [64-88%], specificities of 85% [76-92%] and 55% [36-73%], respectively. These results demonstrate that RDTs are ideal for use in a context of high prevalence or outbreak setting and can be implemented in the absence of a confirmatory test for acute and convalescent patients.

Indexed as

DengueDengue VirusAntibodies, ViralEnzyme-Linked Immunosorbent AssayHumansImmunoglobulin GImmunoglobulin MRapid Diagnostic TestsSenegalSensitivity and SpecificityViral Nonstructural ProteinsAntibodies, ViralImmunoglobulin GImmunoglobulin MViral Nonstructural Proteinsarbovirusesdenguediagnosticsoutbreak responserapid tests

Identifiers

PMID37112887
PMCPMC10143717
OpenAlexW4362587245

What OpenQuestion holds

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LicenceCC BY
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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.