Evidence map›Paper›PMID 38709438›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2024

Diagnostic performance of the bioline dengue duo rapid test on symptomatic patients assisted at Armed Forces Hospital (Hfa) in Brasília, Brazil.

Leani Falcão Gomes, Júlia Viegas Mundim, Lívia do Carmo Silva, Juliana Santana de Curcio, Adriano Roberto Vieira de Sousa, Marco Tulio Garcia-Zapata, Carlos Eduardo Anunciação, Juliana Ramos do Carmo, Elisângela de Paula Silveira-Lacerda

Abstract readEvaluation Study
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2024. 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

9 authors.

Leani Falcão GomesDepartment of Genetics, Federal University of Goias, Avenida Esperança, s/n, Câmpus Samambaia, Goiania, GO, 74.690-900, Brazil.ORCID http://orcid.org/0000-0001-7303-8622
Júlia Viegas MundimResearch Division of Technical Teaching and Research Directorate, Armed Forces Hospital, Brasilia, DF, Brazil.ORCID http://orcid.org/0000-0001-7569-5183
Lívia do Carmo SilvaDepartment of Genetics, Federal University of Goias, Avenida Esperança, s/n, Câmpus Samambaia, Goiania, GO, 74.690-900, Brazil.ORCID http://orcid.org/0000-0002-2131-7395
Juliana Santana de CurcioDepartment of Genetics, Federal University of Goias, Avenida Esperança, s/n, Câmpus Samambaia, Goiania, GO, 74.690-900, Brazil.ORCID http://orcid.org/0000-0003-2978-3689
Adriano Roberto Vieira de SousaDepartment of Genetics, Federal University of Goias, Avenida Esperança, s/n, Câmpus Samambaia, Goiania, GO, 74.690-900, Brazil.ORCID http://orcid.org/0000-0002-2858-4680
Marco Tulio Garcia-ZapataDepartment of Tropical Medicine and Dermatology, Federal University of Goias, Goiania, GO, Brazil.ORCID http://orcid.org/0000-0002-6754-7161
Carlos Eduardo AnunciaçãoDepartment of Biochemistry and Molecular Biology, Federal University of Goias, Goiania, GO, Brazil.ORCID http://orcid.org/0000-0001-6732-4673
Juliana Ramos do CarmoDepartment of Genetics, Federal University of Goias, Avenida Esperança, s/n, Câmpus Samambaia, Goiania, GO, 74.690-900, Brazil.ORCID http://orcid.org/0000-0002-0448-6939
Elisângela de Paula Silveira-LacerdaDepartment of Genetics, Federal University of Goias, Avenida Esperança, s/n, Câmpus Samambaia, Goiania, GO, 74.690-900, Brazil. elacerda@ufg.br.ORCID http://orcid.org/0000-0002-4143-9007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue necessitates accurate diagnosis. Rapid tests such as Bioline™ DENGUE DUO have gained traction, but validation in specific populations is essential. This study aimed to evaluate the performance of the Bioline™ test, alongside assessing the socio-epidemiological profile of symptomatic patients in a Brasília Military Hospital. The serum of 404 symptomatic patients was analyzed by the Bioline™ DENGUE DUO test, followed by Dengue virus detection and discrimination of the four serotypes by RT-qPCR. Accuracy was assessed using parameters including sensitivity (S), specificity (E), positive and negative predictive values (PPV and NPV), and positive (RV +) and negative (RV-) likelihood ratios. The NS1 component exhibited a sensitivity of 70.37%, a specificity of 97.30%, and an overall efficiency of 90.10% when compared to RT-qPCR as the gold standard. The IgM component demonstrated a sensitivity of 26.85%, a specificity of 89.53%, and an overall efficiency of 72.77% when compared to RT-qPCR as the gold standard. The IgG component demonstrated a sensitivity of 23.15%, a specificity of 68.92%, and an overall efficiency of 56.68% when compared to RT-qPCR as the gold standard. Several rapid tests are commercially available. However, considering variations across regions and demographic groups, it is important to question their accuracy in specific populations. Rapid tests are important screening tools, but they can have limitations for the certainty of diagnosis. Bioline™ DENGUE DUO displayed good specificity, but sensitivity was slightly below optimal levels. While helpful for confirming dengue, improvements are needed to effectively rule out the disease.

Indexed as

DengueDengue VirusHospitals, MilitarySensitivity and SpecificityAdolescentAdultAgedAntibodies, ViralBrazilChildChild, PreschoolFemaleHumansImmunoglobulin MMaleMiddle AgedAntibodies, ViralImmunoglobulin MReagent Kits, DiagnosticAccuracyArbovirusesDengueImmunochromatographyRT-qPCR

Identifiers

PMID38709438
PMCPMC11153459

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.