Evidence map›Paper›PMID 32453796›Full record

ArticlePloS one2020

Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa.

Ishmael Festus Jaja, James Oguttu, Chinwe-Juliana Iwu Jaja, Ezekiel Green

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Whole-Genome Sequencing ofMicroorganisms · 2026
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  3. Multidrug-Resistant and Potentially PathogenicFoods (Basel, Switzerland) · 2026
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  7. Article
  8. Article
  9. Review
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  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Prevalence and characterization of quinolone-resistantJournal of advanced veterinary and animal research · 2023
    Article
  17. Article
  18. Antimicrobial resistance genes ofAIMS microbiology · 2023
    Review
  19. Carbapenem resistance inAIMS microbiology · 2023
    Review
  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 at 3 institutions in 1 country.

Ishmael Festus JajaDepartment of Agriculture and Animal Health, University of South Africa, Johannesburg, South Africa.ORCID 0000-0002-9310-6511
James OguttuDepartment of Agriculture and Animal Health, University of South Africa, Johannesburg, South Africa.
Chinwe-Juliana Iwu JajaDepartment of Nursing and Midwifery, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Ezekiel GreenDepartment of Biotechnology and Food Science, Faculty of Science, University of Johannesburg, Doornfontein, Johannesburg, South Africa.
University of South Africa · ZAStellenbosch University · ZAUniversity of Johannesburg · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to characterise antibiotics resistance of Escherichia coli isolates from the formal meat sector (FMS) and informal meat sectors (INMS).

methodA total of 162 and 102 E. coli isolates from the FMS, and INMS respectively were isolated by standard culture-based, and biochemical reactions. The isolates were further confirmed by polymerase chain reaction (PCR). The disc diffusion method was used to screen for antimicrobial susceptibility against 19 different antibiotics. The presence of class 1-2 integrons in each E. coli isolates was assessed using 3'-CS and 5'-CS regions specific primers.

resultAmong the 19 antimicrobials, resistance to tetracyclines, aminoglycosides, cephalosporins, and nitrofurans were found to be more frequent than carbapenems and chloramphenicol. The number of multi-drug resistance ranged from three to ten antimicrobials. The resistant determinants with the highest prevalence in the FMS and INMS were; [aminoglycosides: aadA (40.6%; 31.9%), and strA (6.5%; 9.4%)], [β-lactams: ampC (20%; 45%),], [Chloramphenicol: catI (1.7%; 1.7%), and [tetracyclines: tetB (11.5%; 24%),], and [sulfonamides: sul1 (22.2%; 26.7%),].

conclusionHigher phenotypic resistance to cephalosporins and carbapenems were found in the FMS than in INMS. The multiple antibiotic resistance (MAR) indexes for FMS and INMS ranged from 0.2-0.5. The results reveal a high prevalence of multidrug-resistant E. coli isolates and resistance determinants, suggesting that consumers and handlers of such meat are at risk of contracting antibiotic-resistant E. coli-related foodborne disease.

Indexed as

AnimalsAnti-Bacterial AgentsCattleDrug Resistance, Multiple, BacterialEscherichia coliFood MicrobiologyMeatPrevalenceSouth AfricaSwineAnti-Bacterial Agents

Identifiers

PMID32453796
PMCPMC7250413
OpenAlexW3031192530

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.