Evidence map›Paper›PMID 26211388›Full record

ArticleScientific reports2015

Prevalence and patterns of antimicrobial resistance among Escherichia coli isolated from Zambian dairy cattle across different production systems.

Geoffrey Mainda, Paul R Bessell, Paul B Bessell, John B Muma, Sean P McAteer, Margo E Chase-Topping, James Gibbons, Mark P Stevens, David L Gally, Barend M deC Bronsvoort

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Antimicrobial resistance profiles ofJAC-antimicrobial resistance · 2024
    Article
  8. Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Antimicrobial resistance profiles ofJAC-antimicrobial resistance · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Prevalence and antimicrobial resistance patterns ofJAC-antimicrobial resistance · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review ofInfection and drug resistance · 2022
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Geoffrey Mainda1] Divisions of Immunity and Infection, Veterinary Clinical Sciences [2] District Veterinary Office, Ministry of Agriculture and Livestock, P.O. Box 80285, Kabwe, Zambia.
Paul R BessellGenetics and Genomics, The Roslin Institute and The Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, United Kingdom.
Paul B Bessell
John B MumaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Zambia.
Sean P McAteerDivisions of Immunity and Infection, Veterinary Clinical Sciences.
Margo E Chase-ToppingCentre for Immunity, Infection and Evolution, Kings Buildings, University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH9 3FL, United Kingdom.
James GibbonsSchool of Veterinary Medicine, Veterinary Science Centre, Belfield, Dublin 4, Eire.
Mark P StevensDivisions of Immunity and Infection, Veterinary Clinical Sciences.
David L GallyDivisions of Immunity and Infection, Veterinary Clinical Sciences.
Barend M deC Bronsvoort1] Divisions of Immunity and Infection, Veterinary Clinical Sciences [2] Genetics and Genomics, The Roslin Institute and The Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20211554Wellcome Trust 095831
6 · The paper itself

Abstract

This study focused on the use of antibiotics on small, medium and commercial-sized dairy farms in the central region of Zambia and its relationship to antibiotic resistance in Escherichia coli. A stratified random sample of 104 farms was studied, representing approximately 20% of all dairy farms in the region. On each farm, faecal samples were collected from a random sample of animals and a standardised questionnaire on the usage of antibiotics was completed. An E. coli isolate was obtained from 98.67% (371/376) of the sampled animals and tested for resistance to six classes of antibiotics. The estimated prevalence of resistance across the different farming systems was: tetracycline (10.61; 95%CI: 7.40-13.82), ampicillin (6.02; 95%CI: 3.31-8.73), sulfamethoxazole/ trimethoprim (4.49; 95%CI: 2.42-6.56), cefpodoxime (1.91; 95%CI: 0.46-3.36), gentamicin (0.89; 95%CI: 0.06-1.84) and ciprofloxacin (0%). Univariate analyses indicated certain diseases, exotic breeds, location, farm size and certain management practices as risk factors for detection of resistance, whereas multivariate analyses showed an association with lumpy skin disease and a protective effect for older animals (>25 months). This study has provided novel insights into the drivers of antibiotic use and their association with antibiotic resistance in an under-studied region of Southern Africa.

Indexed as

Animal HusbandryAnimalsAnti-Bacterial AgentsCattleDairyingDrug Resistance, BacterialEscherichia coliFecesMicrobial Sensitivity TestsZambiaAnti-Bacterial Agents

Identifiers

PMID26211388
PMCPMC4515737

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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.