Evidence map›Paper›PMID 16751519›Full record

ArticleApplied and environmental microbiology2006

Temporal prevalence of antimicrobial resistance in Campylobacter spp. from beef cattle in Alberta feedlots.

G D Inglis, D W Morck, T A McAllister, T Entz, M E Olson, L J Yanke, R R Read

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.7field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Isolation ofThe Canadian veterinary journal = La revue veterinaire canadienne · 2020
    Article
  3. Article
  4. Article
  5. Tetracycline ResistantMicroorganisms · 2019
    Article
  6. Article
  7. Antimicrobial Resistance inMicrobiology spectrum · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. Antimicrobial usage and resistance in beef production.Journal of animal science and biotechnology · 2016
    Review
  12. The clinical importance of emerging Campylobacter species.Nature reviews. Gastroenterology & hepatology · 2011
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Occurrence of foodborne bacteria in Alberta feedlots.The Canadian veterinary journal = La revue veterinaire canadienne · 2009
    Article
  18. Article
  19. Antimicrobial use on 24 beef farms in Ontario.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2008
    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

7 authors at 2 institutions in 1 country.

G D InglisAgriculture and Agri-Food Canada Research Centre, 5403 1st Avenue S, Lethbridge, AB T1J 4B1, Canada. inglisd@agr.gc.ca
D W Morck
T A McAllister
T Entz
M E Olson
L J Yanke
R R Read
Agriculture and Agri-Food Canada · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) was temporally assessed in campylobacters isolated from beef cattle (7,738 fecal samples from 2,622 animals) in four commercial feedlots in Alberta. All calves were administered chlortetracycline and oxytetracycline in feed, and a majority of the animals (93%) were injected with long-acting oxytetracycline upon arrival at the feedlot. Fecal samples from individual animals were collected upon arrival (i.e., entry sample), 69 days (standard deviation [SD] = 3 days) after arrival (i.e., interim sample), and 189 days (SD = 33 days) after arrival (i.e., exit sample) at the feedlot. In total, 1,586 Campylobacter isolates consisting of Campylobacter coli (n = 154), Campylobacter fetus (n = 994), Campylobacter jejuni (n = 431), Campylobacter hyointestinalis (n = 4), and Campylobacter lanienae (n = 3) were recovered and characterized. The administration of antimicrobials did not decrease carriage rates of campylobacters, and minimal resistance (< or =4%) to azithromycin, ciprofloxacin, enrofloxacin, gentamicin, and meropenem was observed. In contrast, substantive increases in the prevalence of isolates resistant to tetracycline and doxycycline (56 to 89%) for C. coli, C. fetus, and C. jejuni, as well as in the number of animals (7 to 42%) from which resistant isolates were recovered, were observed during the feedlot period. Increased resistance to erythromycin (total isolates and carriages rates) was also observed in isolates of C. coli over the three isolation times. The majority of C. fetus isolates recovered were resistant to nalidixic acid, but this was independent of when they were isolated. A relatively limited number of multidrug-resistant isolates were recovered and consisted primarily of C. coli resistant to tetracyclines and erythromycin (10% of isolates). Over the course of the feedlot period, considerable increases in antimicrobial resistance were observed in C. coli, C. fetus, and C. jejuni, but with the exception of erythromycin resistance in C. coli, the administration of antimicrobial agents to beef cattle was found to have a minimal impact on resistance to macrolides and fluoroquinolones, the two classes of antimicrobials used to treat campylobacteriosis in humans. However, the widespread use of antimicrobial agents in beef production and the possible horizontal transfer of mobile genetic elements with antimicrobial resistance determinants among Campylobacter and other bacterial taxa emphasize the need to monitor AMR development in bacteria from beef cattle.

Indexed as

Drug Resistance, BacterialAlbertaAnimal FeedAnimalsCampylobacterCampylobacter coliCampylobacter fetusCampylobacter jejuniCattleMeatMicrobial Sensitivity Tests

Identifiers

PMID16751519
PMCPMC1489659
OpenAlexW2131900019

What OpenQuestion holds

Textmetadata
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.