Evidence map›Paper›PMID 31954721›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Diagnostic parameters and reliability of four rapid immunochromatographic tests for dengue 4.

Veronica Elizabeth Mata, Sonia Regina Lambert Passos, Maria Angelica Borges Dos Santos, Sibelle Nogueira Buonora, Carlos Augusto Ferreira de Andrade, Monique da Rocha Queiroz Lima, Betina Moreira Costa, Yara Hahr Marques Hökerberg

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Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review and meta-analysis on the accuracy of rapid immunochromatographic tests for dengue diagnosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
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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

8 authors.

Veronica Elizabeth MataOswaldo Cruz Foundation, Evandro Chagas National Institute of Infectious Diseases, Laboratory of Clinical Epidemiology, Rio de Janeiro, RJ, Brazil.
Sonia Regina Lambert PassosOswaldo Cruz Foundation, Evandro Chagas National Institute of Infectious Diseases, Laboratory of Clinical Epidemiology, Rio de Janeiro, RJ, Brazil. Electronic address: sonia.lambert@ini.fiocruz.br.
Maria Angelica Borges Dos SantosOswaldo Cruz Foundation, National School of Public Health (ENSP), Rio de Janeiro, RJ, Brazil.
Sibelle Nogueira BuonoraOswaldo Cruz Foundation, Evandro Chagas National Institute of Infectious Diseases, Laboratory of Clinical Epidemiology, Rio de Janeiro, RJ, Brazil.
Carlos Augusto Ferreira de AndradeUniversidade Estácio de Sá, Rio de Janeiro, RJ, Brazil.
Monique da Rocha Queiroz LimaOswaldo Cruz Foundation, Oswaldo Cruz Institute, Laboratory of Flavivirus, Rio de Janeiro, RJ, Brazil.
Betina Moreira CostaUniversidade Estácio de Sá, Rio de Janeiro, RJ, Brazil.
Yara Hahr Marques HökerbergOswaldo Cruz Foundation, Evandro Chagas National Institute of Infectious Diseases, Laboratory of Clinical Epidemiology, Rio de Janeiro, RJ, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough performance of rapid immunochromatographic tests (RITs) for dengue virus (DENV) serotypes 1, 2 and 3 is relatively settled, evidence on accuracy of RITs for DENV-4 are based on studies with small sample sizes and with discrepant results.

objectivesTo assess accuracy and inter-observer agreement of RITs targeting dengue nonstructural protein-1 (NS1) antigen - Dengue NS1-Bioeasy™, Dengue NS1 Ag Strip-Bio-Rad™, IVB Dengue Ag NS1-Orangelife™ and Dengue NS1-K130-Bioclin™ in DENV-4 samples.

methodsStudy sample (n = 324) included adults presenting at an emergency unit in Rio de Janeiro, Brazil, with fever of ≤72 h and two or more dengue symptoms. A serum sample from each patient was tested by each RIT. A positive reverse-transcription polymerase chain reaction was considered as the reference standard for dengue diagnosis. The diagnostic parameters analyzed for each RIT were sensitivity, specificity, positive and negative predictive values, and likelihood ratios. Each RIT was read by homogeneous (two junior nurses) or heterogeneous (one junior nurse and one senior biologist) pairs. Agreement was estimated by simple kappa with 95% confidence interval, positive (Ppos) and negative (Pneg) proportion concordance and prevalence and bias adjusted kappa, rated from poor (k < 0.0) to almost perfect (0.8 < k < 1.0), and perfect (k = 1).

resultsNS1 RITs for DENV-4 diagnosis showed high specificity (95.9%-99.4%), but low sensitivity (14.7%-45.4%). Bioeasy™ had the best performance, with a positive likelihood ratio of 26.0 (95% CI: 8.4;81.0). Inter-observer agreement was almost perfect for all evaluated RITs. Mismatches in confirmed dengue were more common for the Bioclin™ (Ppos 88.3-90.0 %) and Orangelife™ (Ppos 91.7-94.1 %) tests.

conclusionsFor DENV-4, the tested RITs had high specificity, but lower sensitivity compared to published results for other serotypes. They should not be used for screening purposes. Different brands may have very different performances. This should be considered upon deciding of using RITs in DENV-4 outbreaks.

Indexed as

AdultBrazilChromatography, AffinityCross-Sectional StudiesDengueDengue VirusEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedObserver VariationProspective StudiesReference StandardsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionDengueDiagnosisImmunochromatographic testsReproducibility of testsSensitivity and specificity

Identifiers

PMID31954721
PMCPMC9392029

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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.