ArticleJournal of clinical microbiology2007
Multiplexed reverse transcriptase PCR assay for identification of viral respiratory pathogens at the point of care.
Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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.
Who cites it
24 citing papers in PubMed, 50 citations in OpenAlex.
- Direct PCR with the CDC 2019 SARS-CoV-2 assay: optimization for limited-resource settings.Scientific reports · 2022Article
- Clinical manifestations of influenza and performance of rapid influenza diagnostic test: A university hospital setting.Health science reports · 2021Article
- Advances in point-of-care nucleic acid extraction technologies for rapid diagnosis of human and plant diseases.Biosensors & bioelectronics · 2020Review
- Development of oligonucleotide microarray for accurate and simultaneous detection of avian respiratory viral diseases.BMC veterinary research · 2019Article
- A novel real-time PCR assay panel for detection of common respiratory pathogens in a convenient, strip-tube array format.Journal of virological methods · 2019Article
- Etiology and severity of diarrheal diseases in infants at the semiarid region of Brazil: A case-control study.PLoS neglected tropical diseases · 2019Article
- A Multiplex Asymmetric Reverse Transcription-PCR Assay Combined With an Electrochemical DNA Sensor for Simultaneously Detecting and Subtyping Influenza A Viruses.Frontiers in microbiology · 2018Article
- A multiplex liquid-chip assay based on Luminex xMAP technology for simultaneous detection of six common respiratory viruses.Oncotarget · 2017Article
- xMAP Technology: Applications in Detection of Pathogens.Frontiers in microbiology · 2017Review
- Accurate Detection of Avian Respiratory Viruses by Use of Multiplex PCR-Based Luminex Suspension Microarray Assay.Journal of clinical microbiology · 2016Article
- Clinical and economical impact of multiplex respiratory virus assays.Diagnostic microbiology and infectious disease · 2013Review
- Comparison of a multiplex real-time PCR assay with a multiplex Luminex assay for influenza virus detection.Journal of clinical microbiology · 2013Article
- Pathogen chip for respiratory tract infections.Journal of clinical microbiology · 2013Article
- Validation of a multiplex reverse transcriptase PCR ELISA for the detection of 19 respiratory tract pathogens.Infection · 2013Article
- Rapid, simple influenza RNA extraction from nasopharyngeal samples.Journal of virological methods · 2012Article
- Viral agents causing lower respiratory tract infections in hospitalized children: evaluation of the Speed-Oligo® RSV assay for the detection of respiratory syncytial virus.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012Article
- Simultaneous detection of six diarrhea-causing bacterial pathogens with an in-house PCR-luminex assay.Journal of clinical microbiology · 2012Article
- Multiplex reverse transcription PCR Luminex assay for detection and quantitation of viral agents of gastroenteritis.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2011Article
- A lean laboratory: operational simplicity and cost effectiveness of the Luminex xTAG™ respiratory viral panel.The Journal of molecular diagnostics : JMD · 2011Article
- Analysis of viral load in children infected with human metapneumovirus.Iranian journal of pediatrics · 2010Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
We have developed a nucleic acid-based assay that is rapid, sensitive, and specific and can be used for the simultaneous detection of five common human respiratory pathogens, including influenza virus A, influenza virus B, parainfluenza virus types 1 and 3, respiratory syncytial virus (RSV), and adenovirus groups B, C, and E. Typically, diagnosis on an unextracted clinical sample can be provided in less than 3 h, including sample collection, preparation, and processing, as well as data analysis. Such a multiplexed panel would enable rapid broad-spectrum pathogen testing on nasal swabs and therefore allow implementation of infection control measures and the timely administration of antiviral therapies. We present here a summary of the assay performance in terms of sensitivity and specificity. The limits of detection are provided for each targeted respiratory pathogen, and result comparisons were performed on clinical samples, our goal being to compare the sensitivity and specificity of the multiplexed assay to the combination of immunofluorescence and shell vial culture currently implemented at the University of California-Davis Medical Center hospital. Overall, the use of the multiplexed reverse transcription-PCR assay reduced the rate of false-negative results by 4% and reduced the rate of false-positive results by up to 10%. The assay correctly identified 99.3% of the clinical negatives and 97% of the adenovirus, 95% of the RSV, 92% of the influenza virus B, and 77% of the influenza virus A samples without any extraction performed on the clinical samples. The data also showed that extraction will be needed for parainfluenza virus, which was only identified correctly 24% of the time on unextracted samples.
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Registered trials
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.