Evidence map›Paper›PMID 31384276›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2017

[Meta-analysis of the usefulness of ELISA, PCR, and immunochromatography for the diagnosis of ChikungunyaMeta-análise da utilidade dos exames ELISA, PCR e imunocromatografia no diagnóstico de febre chikungunya].

Lizdany Flórez-Álvarez, Jaiberth Antonio Cardona-Arias

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2017. 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
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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

2 authors.

Lizdany Flórez-ÁlvarezUniversidad de Antioquia Universidad de Antioquia Medellín Colombia Universidad de Antioquia, Medellín, Colombia. La correspondencia se debe dirigir a Jaiberth Antonio Cardona-Arias.
Jaiberth Antonio Cardona-AriasUniversidad de Antioquia Universidad de Antioquia Medellín Colombia Universidad de Antioquia, Medellín, Colombia. La correspondencia se debe dirigir a Jaiberth Antonio Cardona-Arias.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvaluate the usefulness of ELISA, PCR, and immunochromatography for the diagnosis of Chikungunya.

methodsA meta-analysis of studies reporting diagnostic validity data was performed, using an ex-ante protocol with six search strategies in three multidisciplinary databases. Replicability in the selection and retrieval of information was guaranteed; quality was evaluated using the QUADAS (Quality Assessment of Diagnostic Accuracy Studies) guide; the analyses were performed in MetaDisc, with specific measures, confidence intervals, and combined results under a random-effects model.

resultsA total of 19 studies were included, one with IgG ELISA, two with antigencapture ELISA, five with IgM ELISA, eight with qPCR, and three with immunochromatography. The articles were published primarily in India (37%) between 2009 and 2015, using a combination of clinical symptoms, RT-PCR, ELISA, neutralization assay, or viral isolation as the reference test. The population consisted of 1 108 healthy individuals, 394 with another infection (mainly dengue), and 1 288 with Chikungunya. In IgM ELISA and qPCR, the sensitivity and specificity were greater than 90%, the positive probability quotient was greater than 10, the negative probability quotient was less than 0.1, the diagnostic odds ratio was greater than 100, and the area under the curve was 0.99.

Indexed as

Chikungunya virusenzyme-linked immunosorbent assayimmunochromatographymeta-analysispolymerase chain reaction

Identifiers

PMID31384276
PMCPMC6645288

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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.