Diagnostic Accuracy of Stool Xpert MTB/RIF for Detection of Pulmonary Tuberculosis in Children: a Systematic Review and Meta-analysis.
Adolescent
Age Factors
Child
Child, Preschool
Feces
/ microbiology
Humans
Infant
Infant, Newborn
Microbial Sensitivity Tests
/ methods
Mycobacterium tuberculosis
/ drug effects
Nucleic Acid Amplification Techniques
/ methods
Publication Bias
Reference Values
Reproducibility of Results
Rifampin
/ pharmacology
Sensitivity and Specificity
Tuberculosis, Pulmonary
/ diagnosis
Xpert MTB/RIF assay
childhood TB
pediatric infectious disease
pulmonary tuberculosis
stool
Journal
Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
received:
21
12
2018
accepted:
24
03
2019
pubmed:
5
4
2019
medline:
23
6
2020
entrez:
5
4
2019
Statut:
epublish
Résumé
Invasive collection methods are often required to obtain samples for the microbiological evaluation of children with presumptive pulmonary tuberculosis (PTB). Nucleic acid amplification testing of easier-to-collect stool samples could be a noninvasive method of diagnosing PTB. We conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of testing stool with the Xpert MTB/RIF assay ("stool Xpert") for childhood PTB. Four databases were searched for publications from January 2008 to June 2018. Studies assessing the diagnostic accuracy among children of stool Xpert compared to a microbiological reference standard of conventional specimens tested by mycobacterial culture or Xpert were eligible. Bivariate random-effects meta-analyses were performed to calculate pooled sensitivity and specificity of stool Xpert against the reference standard. From 1,589 citations, 9 studies (
Identifiants
pubmed: 30944200
pii: JCM.02057-18
doi: 10.1128/JCM.02057-18
pmc: PMC6535592
pii:
doi:
Substances chimiques
Rifampin
VJT6J7R4TR
Types de publication
Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2019 MacLean et al.
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