Evidence map›Paper›PMID 30742669›Full record

ArticlePloS one2019

Bridging antimicrobial resistance knowledge gaps: The East African perspective on a global problem.

Frederick K Wangai, Moses M Masika, Godfrey N Lule, Emma M Karari, Marybeth C Maritim, Walter G Jaoko, Beatrice Museve, Antony Kuria

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Antimicrobial resistance trends in clinicalAfrican journal of laboratory medicine · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

8 authors at 2 institutions in 1 country.

Frederick K WangaiUnit of Clinical Infectious Diseases, Department of Clinical Medicine and Therapeutics, School of Medicine, College of Health Sciences-University of Nairobi, Nairobi, Kenya.ORCID 0000-0002-6544-8936
Moses M MasikaDepartment of Microbiology, School of Medicine, College of Health Sciences-University of Nairobi, Nairobi, Kenya.
Godfrey N LuleUnit of Clinical Infectious Diseases, Department of Clinical Medicine and Therapeutics, School of Medicine, College of Health Sciences-University of Nairobi, Nairobi, Kenya.
Emma M KarariUnit of Clinical Infectious Diseases, Department of Clinical Medicine and Therapeutics, School of Medicine, College of Health Sciences-University of Nairobi, Nairobi, Kenya.
Marybeth C MaritimUnit of Clinical Infectious Diseases, Department of Clinical Medicine and Therapeutics, School of Medicine, College of Health Sciences-University of Nairobi, Nairobi, Kenya.ORCID 0000-0003-0996-1222
Walter G JaokoDepartment of Microbiology, School of Medicine, College of Health Sciences-University of Nairobi, Nairobi, Kenya.
Beatrice MuseveMicrobiology Laboratory, Kenyatta National Hospital, Nairobi, Kenya.
Antony KuriaMicrobiology Laboratory, Kenyatta National Hospital, Nairobi, Kenya.
University of Nairobi · KEKenyatta National Hospital · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is worldwide concern of rapidly increasing antimicrobial resistance (AMR). However, there is paucity of resistance surveillance data and updated antibiograms in Africa in general. This study was undertaken in Kenyatta National Hospital (KNH) -the largest public tertiary referral centre in East & Central Africa-to help bridge existing AMR knowledge and practice gaps.

methodsA retrospective review of VITEK 2 (bioMérieux) records capturing antimicrobial susceptibility data for the year 2015 was done and analysed using WHONET and SPSS.

resultsAnalysis of 624 isolates revealed AMR rates higher than most recent local and international reports. 88% of isolates tested were multi-drug resistant (MDR) whereas 26% were extensively-drug resistant (XDR). E. coli and K. pneumoniae had poor susceptibility to penicillins (8-48%), cephalosporins (16-43%), monobactams (17-29%), fluoroquinolones (22-44%) and trimethoprim-sulfamethoxazole (7%). Pseudomonas aeruginosa and Acinetobacter baumanii were resistant to penicillins and cephalosporins, with reduced susceptibility to carbapenems (70% and 27% respectively). S aureus had poor susceptibility to penicillins (3%) and trimethoprim-sulfamethoxazole (29%) but showed excellent susceptibility to imipenem (90%), vancomycin (97%) and linezolid (99%).

conclusionsThe overwhelming resistance to commonly used antibiotics heralds a clarion call towards strengthening antimicrobial stewardship programmes and regular AMR regional surveillance.

Indexed as

Antimicrobial StewardshipDrug Resistance, BacterialHealth Knowledge, Attitudes, PracticeAfrica, EasternEscherichia coliFemaleGlobal HealthHumansKenyaKlebsiella pneumoniaeMaleMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsNeeds AssessmentPseudomonas aeruginosaRetrospective Studies

Identifiers

PMID30742669
PMCPMC6370290
OpenAlexW2913884839

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.