Evidence map›Paper›PMID 30840708›Full record

ArticlePloS one2019

Accuracy of the SD BIOLINE Dengue Duo for rapid point-of-care diagnosis of dengue.

Mariana Kikuti, Jaqueline S Cruz, Moreno S Rodrigues, Aline S Tavares, Igor A D Paploski, Monaise M O Silva, Perla M Santana, Laura B Tauro, Greice A O F Silva, Gúbio S Campos and 4 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Diagnostic performance of the bioline dengue duo rapid test on symptomatic patients assisted at Armed Forces Hospital (Hfa) in Brasília, Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Evaluation of VIDASDiagnostics (Basel, Switzerland) · 2021
    Article
  19. Review
  20. 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

14 authors.

Mariana KikutiInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Jaqueline S CruzInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Moreno S RodriguesInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Aline S TavaresInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Igor A D PaploskiInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Monaise M O SilvaInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Perla M SantanaInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Laura B TauroInstituto Nacional de Medicina Tropical, CONICET, Puerto Iguazu, Misiones, Argentina.
Greice A O F SilvaInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Gúbio S CamposInstituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Josélio M G AraújoDepartamento de Microbiologia e Parasitologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Uriel KitronDepartment of Environmental Science, Emory University, Atlanta, Georgia, United States of America.
Mitermayer G ReisInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Guilherme S RibeiroInstituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.ORCID 0000-0002-6798-2059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid diagnosis tests (RDTs) are easy to carry out, provide fast results, and could potentially guide medical treatment decisions. We investigated the performance of a commercially available RDT, which simultaneously detects the non-structural 1 (NS1) dengue virus (DENV) antigen, and IgM and IgG DENV antibodies, using representative serum samples from individuals in a dengue endemic area in Salvador, Brazil. METHODOLOGY/PRINCIPAL

findingsWe evaluated the accuracy of the SD BIOLINE Dengue Duo RDT (Abbott, Santa Clara, USA; former Alere Inc, Waltham, USA) in a random collection of sera. Samples included acute-phase sera from 246 laboratory-confirmed dengue cases and 108 non-dengue febrile patients enrolled in a surveillance study for dengue detection, 73 healthy controls living in the same surveillance community, and 73 blood donors. RDT accuracy was blindly assessed based on the combined results for the NS1 and the IgM test components. The RDT sensitivity was 46.8% (38.6% for the NS1 component and 13.8% for the IgM component). Sensitivity was greater for samples obtained from patients with secondary DENV infections (49.8%) compared to primary infections (31.1%) (P: 0.02) and was also influenced by the result in the confirmatory dengue diagnostic test, ranging from 39.7% for samples of cases confirmed by IgM-ELISA seroconversion between paired samples to 90.4% for samples of cases confirmed by a positive NS1-ELISA. The RDT specificity was 94.4% for non-dengue febrile patients, 87.7% for the community healthy controls, and 95.9% for the blood donors. CONCLUSIONS/SIGNIFICANCE: The SD BIOLINE Dengue Duo RDT showed good specificities, but low sensitivity, suggesting that it may be more useful to rule in than to rule out a dengue diagnosis in dengue endemic regions.

Indexed as

Point-of-Care SystemsAdolescentAdultAgedAntibodies, ViralBrazilCase-Control StudiesChildDengueDengue VirusFemaleFollow-Up StudiesHumansImmunoglobulin GImmunoglobulin MMaleAntibodies, ViralImmunoglobulin GImmunoglobulin MReagent Kits, DiagnosticViral Nonstructural Proteins

Identifiers

PMID30840708
PMCPMC6402663

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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.