Evidence map›Paper›PMID 24648555›Full record

ArticleJournal of clinical microbiology2014

Deriving group A Streptococcus typing information from short-read whole-genome sequencing data.

Taryn B T Athey, Sarah Teatero, Aimin Li, Alex Marchand-Austin, Bernard W Beall, Nahuel Fittipaldi

Abstract readEvaluation Study
In one paragraph

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Review
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  13. PrevalentFrontiers in public health · 2018
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  14. Article
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  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Taryn B T AtheyPublic Health Ontario, Toronto, Ontario, Canada.
Sarah TeateroPublic Health Ontario, Toronto, Ontario, Canada.
Aimin LiPublic Health Ontario, Toronto, Ontario, Canada.
Alex Marchand-AustinPublic Health Ontario, Toronto, Ontario, Canada Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Bernard W BeallRespiratory Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Nahuel FittipaldiPublic Health Ontario, Toronto, Ontario, Canada Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada nahuel.fittipaldi@oahpp.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Typing of group A Streptococcus (GAS) is crucial for infection control and epidemiology. While whole-genome sequencing (WGS) is revolutionizing the way that bacterial organisms are typed, it is necessary to provide backward compatibility with currently used typing schemas to facilitate comparisons and understanding of epidemiological trends. Here, we sequenced the genomes of 191 GAS isolates representing 42 different emm types and used bioinformatics tools to derive commonly used GAS typing information directly from the short-read WGS data. We show that emm typing and multilocus sequence typing can be achieved rapidly and efficiently using this approach, which also permits the determination of the presence or absence of genes associated with GAS tissue tropism. We also report on how the WGS data analysis was instrumental in identifying ambiguities present in the commonly used emm type database hosted by the U.S. Centers for Disease Control and Prevention.

Indexed as

Genome, BacterialBacterial Typing TechniquesComputational BiologyHumansMultilocus Sequence TypingSequence Analysis, DNAStreptococcus pyogenesUnited States

Identifiers

PMID24648555
PMCPMC4042799

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.