Evidence map›Paper›PMID 17715374›Full record

ArticleJournal of clinical microbiology2007

Comparison of single- and multilocus sequence typing and toxin gene profiling for characterization of methicillin-resistant Staphylococcus aureus.

Yongwei Cai, Fanrong Kong, Qinning Wang, Zhongsheng Tong, Vitali Sintchenko, Xianyu Zeng, Gwendolyn L Gilbert

Abstract readComparative Study
In one paragraph

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. A Secreted Glutamate-Specific Serine Protease fromPathogens (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Distribution of the Most PrevalentFrontiers in microbiology · 2018
    Review
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  11. Multiplex PCR and reverse line blot hybridization assay (mPCR/RLB).Journal of visualized experiments : JoVE · 2011
    Article
  12. Article
  13. Article
  14. 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

7 authors.

Yongwei CaiCentre for Infectious Diseases and Microbiology, Institute of Clinical Pathology and Medical Research, Westmead Hospital, Darcy Road, Westmead, New South Wales 2145, Australia.
Fanrong Kong
Qinning Wang
Zhongsheng Tong
Vitali Sintchenko
Xianyu Zeng
Gwendolyn L Gilbert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared three novel methicillin-resistant Staphylococcus aureus (MRSA) genotyping methods with multilocus sequence typing (MLST) and spa typing to assess their utility for routine strain typing. The new methods were femA and nuc sequence typing and toxin gene profiling (TGP), using a multiplex-PCR-based reverse line blot assay to detect 13 pyrogenic superantigen and exfoliative toxin genes. Forty-two well-characterized MRSA strains, representing 15 MLSTs or 9 clonal clusters (CCs), were genotyped by all methods. Twenty-two spa, nine femA, and seven nuc sequence types were identified. The femA sequence types correlated exactly with CCs; nuc sequences types were less discriminatory but generally correlated well with femA types and CCs. Ten isolates contained none of 13 toxin genes; TGPs of the remainder comprised 1 to 5 toxin genes. The combination of spa typing and TGPs identified 26 genotypes among the 42 strains studied. A combination of two or three rapid, inexpensive genotyping methods could potentially provide rapid MRSA strain typing as well as useful information about clonal origin and virulence.

Indexed as

Methicillin ResistanceBacterial Typing TechniquesDNA, BacterialHumansPolymorphism, GeneticSequence Analysis, DNAStaphylococcus aureusDNA, Bacterial

Identifiers

PMID17715374
PMCPMC2045362

What OpenQuestion holds

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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.