Evidence map›Paper›PMID 27871245›Full record

SynthesisBMC infectious diseases2016

Methicillin resistant Staphylococcus aureus in Ethiopia: a meta-analysis.

Setegn Eshetie, Fentahun Tarekegn, Feleke Moges, Anteneh Amsalu, Wubet Birhan, Kahsay Huruy

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 8 pooled it
2.5field-weighted citation impact, top 11% 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

42 citing papers in PubMed, 8 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
    Pooled it
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  7. Mupirocin-resistantAntimicrobial resistance and infection control · 2018
    Pooled it
  8. Drug Resistance Patterns ofBioMed research international · 2018
    Pooled it
  9. Article
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  15. Article
  16. Methicillin and vancomycin-resistantInfection prevention in practice · 2024
    Article
  17. Occurrence of Methicillin-ResistantVeterinary medicine (Auckland, N.Z.) · 2024
    Article
  18. Molecular Epidemiology of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  19. Multidrug-ResistantVeterinary sciences · 2023
    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 at 2 institutions in 1 country.

Setegn EshetieDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, P. O. Box: 196, Gondar, Ethiopia. wolet03.2004@gmail.com.
Fentahun TarekegnDepartment of Anesthesia, College of Medicine and Health Sciences, Bahirdar University, Bahirdar, Ethiopia.
Feleke MogesDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, P. O. Box: 196, Gondar, Ethiopia.
Anteneh AmsaluDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, P. O. Box: 196, Gondar, Ethiopia.
Wubet BirhanDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, P. O. Box: 196, Gondar, Ethiopia.
Kahsay HuruyDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, P. O. Box: 196, Gondar, Ethiopia.
University of Gondar · ETBahir Dar University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden of methicillin resistant Staphylococcus aureus is a major public health concern worldwide; however the overall epidemiology of multidrug resistant strains is neither coordinated nor harmonized, particularly in developing countries including Ethiopia. Therefore, the aim of this meta-analysis was to assess the burden of methicillin resistant Staphylococcos aureus and its antibiotic resistance pattern in Ethiopia at large.

methodsPubMed, Google Scholar, and lancet databases were searched and a total of 20 studies have been selected for meta-analysis. Six authors have independently extracts data on the prevalence of methicillin resistant Staphylococcus aureus among clinical isolates of Staphylococcus aureus. Statistical analysis was achieved by using Open meta-analyst (version 3.13) and Comprehensive meta-analysis (version 3.3) softwares. The overall prevalence of methicillin resistant Staphylococcus aureus and its antibiotic resistance pattern were pooled by using the forest plot, table and figure with 95% CI.

resultsThe pooled prevalence of methicillin resistant Staphylococcus aureus was 32.5% (95% CI, 24.1 to 40.9%). Moreover, methicillin resistant Staphylococcus aureus strains were found to be highly resistant to penicillin, ampicillin, erythromycin, and amoxicillin, with a pooled resistance ratio of 99.1, 98.1, 97.2 and 97.1%, respectively. On the other hand, comparably low levels of resistance ratio were noted to vancomycin, 5.3%.

conclusionThe overall burden of methicillin resistant Staphylococcus aureus is considerably high, besides these strains showed extreme resistance to penicillin, ampicillin, erythromycin and amoxicillin. In principle, appropriate use of antibiotics, applying safety precautions are the key to reduce the spread of multidrug resistant strains, methicillin resistant Staphylococcus aureus in particular.

Indexed as

Anti-Bacterial AgentsEthiopiaHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsStaphylococcal InfectionsAnti-Bacterial AgentsEthiopiaMeta-analysisMethicillin resistant Staphylococcus aureusSystematic review

Identifiers

PMID27871245
PMCPMC5117566
OpenAlexW2550829839

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.