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Diagnostic Accuracy of Xpert Xpress Flu/RSV for the Detection of Influenza and Respiratory Syncytial Viruses
- Source :
- Japanese journal of infectious diseases. 75(2)
- Publication Year :
- 2021
-
Abstract
- Xpert Xpress Flu/RSV is a fast and automated real-time nucleic acid amplification tool for detecting influenza virus and respiratory syncytial virus (RSV). The aim of this study was to verify the accuracy of Xpert Xpress Flu/RSV for detecting influenza virus and RSV. PubMed, EMBASE, Cochrane Library, and Web of Science databases were searched up to October 2020. The quality of the original research was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 guidelines. Meta-DiSc 1.4 software was used to analyze the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic curve. Deek's funnel plot asymmetry test was used to evaluate the publication bias using the Stata 12.0 software. Ten studies with 25 fourfold tables were included in the analysis. The sensitivity of Xpert Xpress Flu/RSV for detecting influenza A, influenza B, and RSV were 0.97, 0.98, and 0.96, respectively, and the specificities were 0.97, 1.00, and 1.00, respectively. Compared with other common clinical real-time reverse transcription-polymerase chain reaction (RT-PCR), Xpert Xpress Flu/RSV is a valuable tool for diagnosing influenza virus and RSV with high sensitivity and specificity.
- Subjects :
- Microbiology (medical)
viruses
Diagnostic accuracy
Respiratory Syncytial Virus Infections
Original research
Likelihood ratios in diagnostic testing
Sensitivity and Specificity
Virus
Nasopharynx
Influenza, Human
Medicine
Humans
Receiver operating characteristic
Quality assessment
business.industry
virus diseases
Influenza a
General Medicine
Virology
Influenza B virus
Infectious Diseases
Molecular Diagnostic Techniques
Influenza A virus
Respiratory Syncytial Virus, Human
Diagnostic odds ratio
business
Subjects
Details
- ISSN :
- 18842836
- Volume :
- 75
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Japanese journal of infectious diseases
- Accession number :
- edsair.doi.dedup.....95c87e417f8c85b28e98fae57f43ac02