Evidence map›Paper›PMID 21545717›Full record

ArticleBMC microbiology2011

Antibiotic resistance and molecular epidemiology of Staphylococcus aureus in Nigeria.

Adebayo O Shittu, Kenneth Okon, Solayide Adesida, Omotayo Oyedara, Wolfgang Witte, Birgit Strommenger, Franziska Layer, Ulrich Nübel

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 200 citations in OpenAlex.

  1. Mupirocin-resistantAntimicrobial resistance and infection control · 2018
    Pooled it
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  3. Review
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  5. Molecular landscape of methicillin-resistantJAC-antimicrobial resistance · 2025
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  16. Antimicrobial Resistance, Multilocus Sequence, andBioMed research international · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 2 countries.

Adebayo O ShittuDepartment of Microbiology, Obafemi Awolowo University, Ile-Ife, Nigeria. bayo_shittu@yahoo.com
Kenneth Okon
Solayide Adesida
Omotayo Oyedara
Wolfgang Witte
Birgit Strommenger
Franziska Layer
Ulrich Nübel
Robert Koch Institute · DENigerian Institute of Medical Research · NGOsun State University · NGUniversity of Maiduguri · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStaphylococcus aureus is an important pathogen causing a wide range of infections in the hospital and community setting. In order to have adequate information for treatment of S. aureus infections, it is crucial to understand the trends in the antibiotic-resistance patterns. In addition, the occurrence and changes in types of S. aureus, clonal identities, and their geographic spread is essential for the establishment of adequate infection control programmes. In this study, 68 S. aureus isolates obtained from clinical and non-clinical sources in Nigeria between January and April 2009 were characterized using phenotypic and molecular methods.

resultsAll the S. aureus isolates were susceptible to teicoplanin, vancomycin, phosphomycin, fusidic acid, rifampicin, daptomycin, mupirocin, linezolid and tigecycline. Sixteen percent of the isolates were resistant to oxacillin, while 55% and 72% of isolates were resistant to tetracycline and trimethoprim/sulphamethoxazole (cotrimoxazole), respectively (Table 1). There was excellent correlation between the broth microdilution assay and detection of antibiotic resistance genes by the multiplex PCR, in the determination of S. aureus resistance to erythromycin, gentamicin, methicillin and tetracycline. A total of 28 spa types were identified in the study, and the predominant spa type among the methicillin-susceptible S. aureus (MSSA) isolates was t084 (13 isolates). The t037-ST241-SCCmecIII type was the only clone identified in Maiduguri (North-East Nigeria) while in South-West Nigeria, diversity among the MRSA isolates (t451-ST8-SCCmecV; t008-ST94-SCCmecIV; t002-ST5-SCCmecV; t064-ST8-SCCmecV) was observed. The toxin genes seh and etd were detected in isolates affiliated with clonal complexes CC1, CC80 and sequence type ST25, respectively. The proportion of PVL-positive isolates among MSSA was high (40%). Most of the PVL-positive MSSA isolates were obtained from wound infections and associated with clonal complexes CC1, CC30, CC121 and with sequence type ST152.

conclusionsThe use of phenotypic and molecular methods provided useful information on antibiotic resistance and molecular diversity of S. aureus in Nigeria. The high proportion of PVL-positive MSSA isolates affiliated to various clonal complexes and detected in all the health institutions is a major concern, both as a source of severe infections and as a potential reservoir that could lead to the emergence of PVL-positive MRSA. This study presents the first baseline information on the nature of the antibiotic resistance genes from S. aureus isolates in Nigeria. There is the need to curtail the spread and establishment of MRSA and PVL-positive MSSA clones in Nigerian health care institutions.

Indexed as

Drug Resistance, BacterialMolecular TypingAdolescentAdultAgedAnti-Bacterial AgentsBacterial ToxinsChildChild, PreschoolCluster AnalysisExotoxinsFemaleHumansInfantInfant, NewbornLeukocidinsAnti-Bacterial AgentsBacterial ToxinsExotoxinsLeukocidinsPanton-Valentine leukocidinVirulence Factors

Identifiers

PMID21545717
PMCPMC3112067
OpenAlexW2139076173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.