Evidence map›Paper›PMID 27247074›Full record

ArticleThe Onderstepoort journal of veterinary research2016

Salmonella contamination, serovars and antimicrobial resistance profiles of cattle slaughtered in South Africa.

Evelyn Madoroba, Daniel Kapeta, Awoke K Gelaw

Open access · goldAbstract read
In one paragraph

Article in The Onderstepoort journal of veterinary research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Virulence and Antimicrobial Resistance Profiling ofPathogens (Basel, Switzerland) · 2023
    Article
  8. Identification ofPathogens (Basel, Switzerland) · 2023
    Article
  9. High diversity ofFrontiers in microbiology · 2023
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  10. Article
  11. Presence and Virulence Characteristics of Shiga ToxinFoodborne pathogens and disease · 2022
    Article
  12. Magnitude and Antimicrobial Susceptibility Profile ofInfection and drug resistance · 2022
    Article
  13. One Health Perspective ofInternational journal of microbiology · 2022
    Review
  14. Prevalence of Antibiotic Resistance inAntibiotics (Basel, Switzerland) · 2021
    Review
  15. Review
  16. Antimicrobial Resistance Profiles ofPathogens (Basel, Switzerland) · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Molecular Detection Of Multidrug-ResistantInfection and drug resistance · 2019
    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

3 authors at 2 institutions in 2 countries.

Evelyn MadorobaBacteriology Section, Agricultural Research Council-Onderstepoort Veterinary Institute, South Africa; College of Agriculture and Environmental Sciences, University of South Africa, Florida Campus, South Africa. MadorobaE@arc.agric.za.
Daniel Kapeta
Awoke K Gelaw
University of South Africa · ZAConsiglio per la ricerca in agricoltura e l’analisi dell’economia agraria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistant Salmonella are among the leading causes of foodborne infections. Our aim was to determine Salmonella contamination during cattle slaughter in South African rural abattoirs (n = 23) and environmental samples. Furthermore, antimicrobial resistance patterns of the Salmonella isolates were determined. Samples of cattle faeces (n = 400), carcass sponges (n = 100), intestinal contents (n = 62), hides (n = 67), and water from the abattoirs (n = 75) were investigated for Salmonella species using microbiological techniques and species-specific polymerase chain reaction targeting the invA gene. In total 92 Salmonella species isolates were recovered. The Salmonella mean frequency of occurrence on hides, carcasses, and intestinal contents was 35.37% (n = 81). Eleven faecal samples (2.75%) tested positive for Salmonella. The predominant serovar was Salmonella Enteritidis. Diverse serovars that were identified on carcasses were not necessarily found on the hides and intestinal contents. The inconsistent occurrence of the diverse Salmonella serovars on hides, carcasses, and intestinal contents implies that in addition to carriage on hides and in intestinal contents, other external factors also play an important role regarding carcass contamination. The 92 Salmonella were serotyped and tested for susceptibility towards the following antimicrobials: ampicillin, cefotaxime, enrofloxacin, kanamycin, and oxytetracycline using the disk diffusion method. Most Salmonella (n = 66; 71.7%) isolates were resistant to at least one antimicrobial with highest resistance observed towards oxytetracycline (51.90%), which highlights the need for strict hygiene during slaughter and prudent antimicrobial use during animal production. In conclusion, cattle slaughtered in South African rural abattoirs harbour diverse Salmonella serovars that are resistant to antimicrobials, which could be a public health risk. The findings should assist policymakers with improving implementation of hygienic slaughter of cattle in rural abattoirs, which is paramount from socioeconomic, public health, and epidemiological standpoints.

Indexed as

AbattoirsDrug Resistance, Multiple, BacterialAnimalsAnti-Bacterial AgentsCattleCattle DiseasesFecesIntestinesMeatPolymerase Chain ReactionPrevalenceSalmonellaSalmonella Infections, AnimalSequence Analysis, DNASeroepidemiologic StudiesSerogroupAnti-Bacterial AgentsSalmonella; Cattle; Rural abattoirs; slaughter; Multidrug resistance; Environmental samples.

Identifiers

PMID27247074
PMCPMC6238676
OpenAlexW2405143538

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.