Accuracy of serological tests for diagnosis of chronic pulmonary aspergillosis: A systematic review and meta-analysis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 31 08 2019
accepted: 21 01 2020
entrez: 18 3 2020
pubmed: 18 3 2020
medline: 28 5 2020
Statut: epublish

Résumé

Chronic pulmonary aspergillosis (CPA) is a slow and progressive disease that develops in preexisting lung cavities of patients with tuberculosis sequelae, and it is associated with a high mortality rate. Serological tests such as double agar gel immunodiffusion test (DID) or counterimmunoelectrophoresis (CIE) test have been routinely used for CPA diagnosis in the absence of positive cultures. However, these tests have been replaced with enzyme-linked immunoassay (ELISA) and, a variety of methods. This systematic review compares ELISA accuracy to reference test (DID and/or CIE) accuracy in CPA diagnosis. It was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The study was registered in PROSPERO under the registration number CRD42016046057. We searched the electronic databases MEDLINE (PubMed), EMBASE (Elsevier), LILACS (VHL), Cochrane library, and ISI Web of Science. Gray literature was researched using Google Scholar and conference abstracts. We included articles with patients or serum samples from patients with CPA who underwent two serological tests: ELISA (index test) and IDD and/or CIE (reference test). We used the test accuracy as a result. Original articles were considered without a restriction of date or language. The pooled sensitivity, specificity, and summary receiver operating characteristic curves were estimated. We included 14 studies in the review, but only four were included in the meta-analysis. The pooled sensitivities and specificities were 0.93 and 0.97 for the ELISA test. These values were 0.64 and 0.99 for the reference test (DID and/or CIE). Analyses of summary receiver operating characteristic curves yielded 0.99 for ELISA and 0.99 for the reference test (DID and/or CIE). Our meta-analysis suggests that the diagnostic accuracy of ELISA is greater than the reference tests (DID and/or CIE) for early CPA detection.

Identifiants

pubmed: 32182249
doi: 10.1371/journal.pone.0222738
pii: PONE-D-19-24582
pmc: PMC7077827
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0222738

Subventions

Organisme : Medical Research Council
ID : MR/R022739/1
Pays : United Kingdom

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Cláudia Elizabeth Volpe Chaves (CE)

Graduate Program in Infectious and Parasitic Diseases of Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
Regional Hospital of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.

Sandra Maria do Valle Leone de Oliveira (SM)

Graduate Program in Infectious and Parasitic Diseases of Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.

James Venturini (J)

Graduate Program in Infectious and Parasitic Diseases of Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.

Antonio Jose Grande (AJ)

State University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.

Tatiane Fernanda Sylvestre (TF)

Tropical Diseases Department, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu, São Paulo State, Brazil.

Rinaldo Poncio Mendes (R)

Graduate Program in Infectious and Parasitic Diseases of Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.
Tropical Diseases Department, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu, São Paulo State, Brazil.

Anamaria Mello Miranda Paniago (A)

Graduate Program in Infectious and Parasitic Diseases of Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.

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Classifications MeSH