Evidence map›Paper›PMID 29290846›Full record

ArticleThe open microbiology journal2017

Trends in the Genetic Background of Methicillin-Resistant

John F Antiabong, Marleen M Kock, Tsidiso G Maphanga, Adeola M Salawu, Nontombi M Mbelle, Marthie M Ehlers

Open access · diamondAbstract read
In one paragraph

Article in The open microbiology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Genomic characterization ofMicrobiology spectrum · 2024
    Article
  2. Human-Associated Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2021
    Article
  3. 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 at 1 institution in 1 country.

John F AntiabongDepartment of Medical Microbiology, University of Pretoria, Gauteng, South Africa.
Marleen M KockDepartment of Medical Microbiology, University of Pretoria, Gauteng, South Africa.
Tsidiso G MaphangaDepartment of Medical Microbiology, University of Pretoria, Gauteng, South Africa.
Adeola M SalawuDepartment of Medical Microbiology, University of Pretoria, Gauteng, South Africa.
Nontombi M MbelleDepartment of Medical Microbiology, University of Pretoria, Gauteng, South Africa.
Marthie M EhlersDepartment of Medical Microbiology, University of Pretoria, Gauteng, South Africa.
University of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study sought to understand the epidemio-ecological dynamics of MRSA isolates associated with a South African hospital over a period spanning year 2007-8 (a previous study reported in 2009) and year 2010-11 (this study).

methodsOne hundred and ninety three isolates were characterised by molecular fingerprinting methods including pulsed field gel electrophoresis (PFGE),

resultsOur data shows that the distribution of MRSA strains among the different clinical conditions was rarely dependent on the genetic backbone or genotype. Compared to the previous survey in 2009, CA-MRSA isolates increased by 31% while HA-MRSA isolates decreased by 17%. An increase in genetic diversity was also revealed including the detection of three pandemic clonal complexes (

conclusionThis study reveals that increased diversity in MRSA genetic background was associated with resistance to frontline antibiotics. Also, an increase was recorded in the CA-MRSA/HA-MRSA ratio within a 5-year period despite the continuous dominance of the HA-MRSA genotype.

Indexed as

DiversityEpidemiological geneticsHospital settingMRSASouth Africa

Identifiers

PMID29290846
PMCPMC5737024
OpenAlexW2768007936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.