Evidence map›Paper›PMID 26807811›Full record

ArticlePloS one2016

Spectrum of Microbial Diseases and Resistance Patterns at a Private Teaching Hospital in Kenya: Implications for Clinical Practice.

Daniel Maina, Geoffrey Omuse, Gunturu Revathi, Rodney D Adam

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
    Pooled it
  3. Pooled it
  4. Trial
  5. Life (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Best Practices in the Management ofTropical medicine and infectious disease · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Determination ofJournal of pathogens · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Phenotypic and Genotypic Antibiotic Resistant diarrheagenicEthiopian journal of health sciences · 2020
    Article
  18. Article
  19. 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

4 authors.

Daniel MainaDepartment of Pathology, Aga Khan University Hospital, Nairobi, Kenya.
Geoffrey OmuseDepartment of Pathology, Aga Khan University Hospital, Nairobi, Kenya.
Gunturu RevathiDepartment of Pathology, Aga Khan University Hospital, Nairobi, Kenya.
Rodney D AdamDepartment of Pathology, Aga Khan University Hospital, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate local prevalence of microbial diseases and microbial resistance data are vital for optimal treatment of patients. However, there are few reports of these data from developing countries, especially from sub-Saharan Africa. The status of Aga Khan University Hospital Nairobi as an internationally accredited hospital and a laboratory with an electronic medical record system has made it possible to analyze local prevalence and antimicrobial susceptibility data and compare it with other published data.

methodsWe have analyzed the spectrum of microbial agents and resistance patterns seen at a 300 bed tertiary private teaching hospital in Kenya using microbial identity and susceptibility data captured in hospital and laboratory electronic records between 2010 and 2014.

resultsFor blood isolates, we used culture collection within the first three days of hospitalization as a surrogate for community onset, and within that group, Escherichia coli was the most common, followed by Staphylococcus aureus. In contrast, Candida spp. and Klebsiella pneumoniae were the most common hospital onset causes of bloodstream infection. Antimicrobial resistance rates for the most commonly isolated Gram negative organisms was higher than many recent reports from Europe and North America. In contrast, Gram positive resistance rates were quite low, with 94% of S. aureus being susceptible to oxacillin and only rare isolates of vancomycin-resistant enterococci.

conclusionsThe current report demonstrates high rates of antimicrobial resistance in Gram negative organisms, even in outpatients with urinary tract infections. On the other hand, rates of resistance in Gram positive organisms, notably S. aureus, are remarkably low. A better understanding of the reasons for these trends may contribute to ongoing efforts to combat antimicrobial resistance globally.

Indexed as

Anti-Bacterial AgentsCandidaCandidiasisCommunicable DiseasesCross InfectionDrug Resistance, BacterialHospitals, PrivateHospitals, TeachingHumansKenyaKlebsiellaKlebsiella InfectionsMicrobial Sensitivity TestsStaphylococcal InfectionsStaphylococcus aureusAnti-Bacterial Agents

Identifiers

PMID26807811
PMCPMC4726487

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LicenceCC BY
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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.