Evidence map›Paper›PMID 25523075›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Staphylococcus aureus nasal carriage among outpatients attending primary health care centers: a comparative study of two cities in Saudi Arabia and Egypt.

Hala M Abou Shady, Alaa Eldin A Bakr, Mahmoud E Hashad, Mohammad A Alzohairy

Abstract readComparative Study
In one paragraph

Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
–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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Methicillin-ResistantToxins · 2020
    Pooled it
  4. Pooled it
  5. Clonal Flux and Spread ofMicroorganisms · 2023
    Article
  6. Article
  7. Review
  8. Characterisation of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  9. Whole-Genome Sequencing ofMicrobiology spectrum · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Emergence of Methicillin-ResistantInfection and drug resistance · 2020
    Article
  17. SCCIranian journal of public health · 2019
    Article
  18. Article
  19. Emergence of novel methicillin-resistantInfection and drug resistance · 2019
    Article
  20. Molecular Characterization of Methicillin ResistantFrontiers in public health · 2019
    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

4 authors.

Hala M Abou ShadyDepartment of Microbiology, Faculty of Science, Ain Shams University, Cairo, Egypt.
Alaa Eldin A BakrDepartment of Microbiology, Faculty of Science, Ain Shams University, Cairo, Egypt; Environmental Quality Sector, Egyptian Environmental Affairs Agency, Cairo, Egypt. Electronic address: alaagul@yahoo.com.
Mahmoud E HashadDepartment of Microbiology, Faculty of Veterinary Medicine, Cairo University, Cairo, Egypt.
Mohammad A AlzohairyDepartment of Medical Laboratories, College of Applied Medical Science, Qassim University, Qassim, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological and molecular data on community acquired methicillin resistant Staphylococcus aureus (CA-MRSA) are still scarce in both Egypt and Saudi Arabia. There is almost no data regarding methicillin resistant Staphylococcus aureus (MRSA) prevalence in both countries. This study was conducted to investigate the prevalence and molecular epidemiology of S. aureus and MRSA nasal carriage among outpatients attending primary health care centers in two big cities in both countries. A total of 206 nasal swabs were obtained, 103 swabs from each country. S. aureus isolates were characterized by antibiotic susceptibility, presence of mecA and PVL genes, SCCmec-typing and spa typing, the corresponding Multi locus sequence typing clonal complex was assigned for each spa type based on Ridom StaphType database. MRSA was detected in 32% of the Egyptian outpatients while it was found in 25% of the Saudi Arabian outpatients. All MRSA isolates belonged to SCCmec type V and IVa, where some isolates in Saudi Arabia remained nontypeable. Surprisingly PVL(+) isolates were low in frequency: 15% of MRSA Egyptian isolates and 12% of MRSA isolates in Saudi Arabia. Two novel spa types were detected t11839 in Egypt, and t11841 in Saudi Arabia. We found 8 spa types among 20 isolates from Egypt, and 12 spa types out of 15 isolates from Saudi Arabia. Only two spa types t008 and t223 coexisted in both countries. Four clonal complexes (CC5, CC8, CC22, and CC80) were identified in both Egypt and Saudi Arabia. However, the data collected lacked a representation of isolates from different parts of each country as only one health center from each country was included, it still partially illustrates the CA-MRSA situation in both countries. In conclusion a set of control measures is required to prevent further increase in MRSA prevalence.

Indexed as

Anti-Bacterial AgentsCarrier StateCross-Sectional StudiesDNA, BacterialEgyptHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMultilocus Sequence TypingNasal CavityOutpatientsPhylogenyPrimary Health CareSaudi ArabiaStaphylococcal InfectionsVirulence FactorsAnti-Bacterial AgentsDNA, BacterialVirulence FactorsCommunity acquired methicillin resistant Staphylococcus aureus (CA-MRSA)Outpatients in Egypt and Saudi ArabiaSCCmec typingSpa typing

Identifiers

PMID25523075
PMCPMC9425251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.