Evidence map›Paper›PMID 21479532›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2011

mec-associated dru typing in the epidemiological analysis of ST239 MRSA in Malaysia.

E Ghaznavi-Rad, R V Goering, M Nor Shamsudin, P L Weng, Z Sekawi, M Tavakol, A van Belkum, V Neela

Abstract readComparative Study
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In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Genetic Diversity among Methicillin-ResistantTropical medicine and infectious disease · 2022
    Review
  2. Genotypic Characteristics and Correlation of Epidemiology ofAntibiotics (Basel, Switzerland) · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

E Ghaznavi-RadDepartment of Medical Microbiology and Parasitology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
R V Goering
M Nor Shamsudin
P L Weng
Z Sekawi
M Tavakol
A van Belkum
V Neela

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The usefulness of mec-associated dru typing in the epidemiological analysis of methicillin-resistant Staphylococcus aureus (MRSA) isolated in Malaysia was investigated and compared with pulsed-field gel electrophoresis (PFGE), multilocus sequence typing (MLST), and spa and SCCmec typing. The isolates studied included all MRSA types in Malaysia. Multilocus sequence type ST188 and ST1 isolates were highly clonal by all typing methods. However, the dru typing of ST239 isolates produced the clearest discrimination between SCCmec IIIa and III isolates, yielding more subtypes than any other method. Evaluation of the discriminatory power for each method identified dru typing and PFGE as the most discriminatory, with Simpson's index of diversity (SID) values over 89%, including an isolate which was non-typeable by spa, but dru-typed as dt13j. The discriminatory ability of dru typing, especially with closely related MRSA ST239 strains (e.g., Brazilian and Hungarian), underscores its utility as a tool for the epidemiological investigation of MRSA.

Indexed as

Anti-Bacterial AgentsBacterial Typing TechniquesCluster AnalysisConfidence IntervalsDNA, BacterialElectrophoresis, Gel, Pulsed-FieldGenotypeHumansMalaysiaMethicillin ResistanceMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMolecular EpidemiologyMultilocus Sequence TypingRepetitive Sequences, Nucleic AcidSequence Analysis, DNAAnti-Bacterial AgentsDNA, Bacterial

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Registered trials

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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.