ArticleJournal of clinical microbiology2014
Direct detection and prediction of all pneumococcal serogroups by target enrichment-based next-generation sequencing.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed.
- Multilocus sequence typing and antibiotic resistance of Aeromonas isolated from freshwater fish in Hebei Province.PloS one · 2024Article
- Strain LevelFrontiers in microbiology · 2017Article
- Pneumococcal Capsules and Their Types: Past, Present, and Future.Clinical microbiology reviews · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the availability of standard methods for pneumococcal serotyping, there is room for improvement in the available methods, in terms of throughput, multiplexing capacity, and the number of serotypes identified. We describe a target enrichment-based next-generation sequencing method applied to nasopharyngeal samples for direct detection and serogroup prediction of all known serotypes of Streptococcus pneumoniae, 32 to the serotype level and the rest to the closely related serogroup level. The method was applied to detect and to predict the serogroups of pneumococci directly in clinical samples and from sweeps of primary culture DNA, with increased detection rates versus culture-based identification and agreement with the serotypes/serogroups determined by conventional serotyping methods. We propose this method, in conjunction with traditional serotyping methods, as an alternative to rapid detection and serotyping of pneumococci.
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Registered trials
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