Evidence map›Paper›PMID 23667611›Full record

ArticlePloS one2013

Prevalence and antimicrobial susceptibility patterns of bacteria from milkmen and cows with clinical mastitis in and around Kampala, Uganda.

David Patrick Kateete, Usuf Kabugo, Hannington Baluku, Luke Nyakarahuka, Samuel Kyobe, Moses Okee, Christine Florence Najjuka, Moses Lutaakome Joloba

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 4 pooled it
10.5field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 4 syntheses or guidelines pooled it, 129 citations in OpenAlex.

  1. Pooled it
  2. Prevalence and risk factors ofFrontiers in veterinary science · 2023
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Systematic review and meta-analysis ofOne health (Amsterdam, Netherlands) · 2025
    Review
  7. Article
  8. Article
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  10. Article
  11. Article
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  13. Article
  14. Slow pyrolysis ofBiochemistry and biophysics reports · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Antimicrobial Usage and Detection of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  19. Article
  20. Review
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 1 institution in 1 country.

David Patrick KateeteDepartment of Medical Microbiology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda. davidkateete@gmail.com
Usuf Kabugo
Hannington Baluku
Luke Nyakarahuka
Samuel Kyobe
Moses Okee
Christine Florence Najjuka
Moses Lutaakome Joloba
Makerere University · UG

Funding

CELL TO CELL SIGNALING IN MYCOBACTERIAR01AI075637 · NIAID · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI JOLOBA, MOSES LUTAAKOME · 2007 to 2010
$319k
ROLE OF RHOMBOID HOMOLOGUES IN MYCOBACTERIA SIGNALINGR03AI062849 · NIAID · MAKERERE MEDICAL SCHOOL · PI JOLOBA, MOSES LUTAAKOME · 2005 to 2006
$107k
NIAID NIH HHS R01 AI075637NIAID NIH HHS R03 AI062849
6 · The paper itself

Abstract

backgroundIdentification of pathogens associated with bovine mastitis is helpful in treatment and management decisions. However, such data from sub-Saharan Africa is scarce. Here we describe the distribution and antimicrobial susceptibility patterns of bacteria from cows with clinical mastitis in Kampala, Uganda. Due to high concern of zoonotic infections, isolates from milkmen are also described. METHODOLOGY/PRINCIPAL

findingsNinety seven milk samples from cows with clinical mastitis and 31 nasal swabs from milkmen were collected (one sample per cow/human). Fifty eight (60%) Gram-positive isolates namely Staphylococci (21), Enterococci (16), Streptococci (13), Lactococci (5), Micrococci (2) and Arcanobacteria (1) were detected in cows; only one grew Staphylococcus aureus. Furthermore, 24 (25%) coliforms namely Escherichia coli (12), Klebsiella oxytoca (5), Proteus vulgaris (2), Serratia (2), Citrobacter (1), Cedecea (1) and Leclercia (1) were identified. From humans, 24 Gram-positive bacteria grew, of which 11 were Staphylococci (35%) including four Staphylococcus aureus. Upon susceptibility testing, methicillin-resistant coagulase-negative staphylococci (CoNS) were prevalent; 57%, 12/21 in cows and 64%, 7/11 in humans. However, methicillin-resistant Staphylococcus aureus was not detected. Furthermore, methicillin and vancomycin resistant CoNS were detected in cows (Staphylococcus hominis, Staphylococcus lugdunensis) and humans (Staphylococcus scuiri). Also, vancomycin and daptomycin resistant Enterococci (Enterococcus faecalis and Enterococcus faecium, respectively) were detected in cows. Coliforms were less resistant with three pan-susceptible isolates. However, multidrug resistant Klebsiella, Proteus, Serratia, Cedecea, and Citrobacter were detected. Lastly, similar species grew from human and bovine samples but on genotyping, the isolates were found to be different. Interestingly, human and bovine Staphylococcus aureus were genetically similar (spa-CC435, spa-type t645 corresponding to ST121) but with different susceptibility patterns. CONCLUSIONS/SIGNIFICANCE: CoNS, Enterococci, Streptococci, and Escherichia coli are the predominant pathogens associated with clinical bovine-mastitis in Kampala, Uganda. Multidrug resistant bacteria are also prevalent. While similar species occurred in humans and cows, transmission was not detected.

Indexed as

AnimalsAnimal TechniciansAnti-Bacterial AgentsBacteriaCattleDrug Resistance, MicrobialEnterococcusFemaleHumansMammary Glands, AnimalMastitis, BovineMicrobial Sensitivity TestsMilkPhylogenyPrevalenceRandom Amplified Polymorphic DNA TechniqueAnti-Bacterial Agents

Identifiers

PMID23667611
PMCPMC3646745
OpenAlexW2116899190

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.