ArticleJournal of clinical microbiology2013
Pathogen chip for respiratory tract infections.
Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
- tNGS-based detection of respiratory pathogens in a single center: associations with age, gender, season, and co-infections.Frontiers in cellular and infection microbiology · 2025Article
- A full genome tiling array enhanced the inspection and quarantine of SARS-CoV-2.Virology journal · 2023Article
- Thermostable Heptaplex PCR Assay for the Detection of Six Respiratory Bacterial Pathogens.Diagnostics (Basel, Switzerland) · 2021Article
- The Role of Infection in Acute Exacerbation of Idiopathic Pulmonary Fibrosis.Mediators of inflammation · 2019Article
- Evaluation of the VircliaJournal of clinical laboratory analysis · 2018Article
- An array-based melt curve analysis method for the identification and classification of closely related pathogen strains.Biology methods & protocols · 2018Article
- A comparison study between GeXP-based multiplex-PCR and serology assay for Mycoplasma pneumoniae detection in children with community acquired pneumonia.BMC infectious diseases · 2017Article
- Detection of viral respiratory pathogens in mild and severe acute respiratory infections in Singapore.Scientific reports · 2017Article
- [Identification of bocavirus infection in a young child with pneumonia using a pan-microbial microarray].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2016Article
- Mycoplasma pneumoniae: Current Knowledge on Nucleic Acid Amplification Techniques and Serological Diagnostics.Frontiers in microbiology · 2016Review
- Solid and Suspension Microarrays for Microbial Diagnostics.Methods in microbiology · 2015Article
- The use of a multiplex real-time PCR assay for diagnosing acute respiratory viral infections in children attending an emergency unit.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2014Article
- Article
- Poor growth and pneumonia seasonality in infants in the Philippines: cohort and time series studies.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determining the viral etiology of respiratory tract infections (RTI) has been limited for the most part to specific primer PCR-based methods due to their increased sensitivity and specificity compared to other methods, such as tissue culture. However, specific primer approaches have limited the ability to fully understand the diversity of infecting pathogens. A pathogen chip system (PathChip), developed at the Genome Institute of Singapore (GIS), using a random-tagged PCR coupled to a chip with over 170,000 probes, has the potential to recognize all known human viral pathogens. We tested 290 nasal wash specimens from Filipino children <2 years of age with respiratory tract infections using culture and 3 PCR methods-EraGen, Luminex, and the GIS PathChip. The PathChip had good diagnostic accuracy, ranging from 85.9% (95% confidence interval [CI], 81.3 to 89.7%) for rhinovirus/enteroviruses to 98.6% (95% CI, 96.5 to 99.6%) for PIV 2, compared to the other methods and additionally identified a number of viruses not detected by these methods.
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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.