Evidence map›Paper›PMID 38138126›Full record

ArticleMicroorganisms2023

Effect of Antimicrobial Use in Conventional Versus Natural Cattle Feedlots on the Microbiome and Resistome.

Catrione Lee, Rahat Zaheer, Krysty Munns, Devin B Holman, Gary Van Domselaar, Athanasios Zovoilis, Tim A McAllister

Abstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Catrione LeeLethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Government of Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada.
Rahat ZaheerLethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Government of Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada.ORCID 0000-0003-3307-4666
Krysty MunnsLethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Government of Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada.
Devin B HolmanLacombe Research and Development Centre, Agriculture and Agri-Food Canada, Government of Canada, 6000 C and E Trail, Lacombe, AB T4L 1W1, Canada.
Gary Van DomselaarNational Microbiology Laboratory, Public Health Agency of Canada, Government of Canada, 1015 Arlington Street, Winnipeg, MB R3E 3R2, Canada.
Athanasios ZovoilisSouthern Alberta Genomic Sciences Centre, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive West, Lethbridge, AB T1K 3M4, Canada.
Tim A McAllisterSouthern Alberta Genomic Sciences Centre, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive West, Lethbridge, AB T1K 3M4, Canada.ORCID 0000-0002-8266-6513

Funding

Genomics Research and Development Initiative (GRDI) of the Government of CanadaMajor Innovation Fund of the Government of Alberta in conjunction with the University of Calgary AMR One Health Consortium
6 · The paper itself

Abstract

Antimicrobial use (AMU) in the livestock industry has been associated with increased levels of antimicrobial resistance. Recently, there has been an increase in the number of "natural" feedlots in the beef cattle sector that raise cattle without antibiotics. Shotgun metagenomics was employed to characterize the impact of AMU in feedlot cattle on the microbiome, resistome, and mobilome. Sequenced fecal samples identified a decline (q < 0.01) in the genera

Indexed as

antimicrobial resistancelivestock productionmetagenomic sequencingmicrobiotamobilomeraised without antibioticsresistome

Identifiers

PMID38138126
PMCPMC10745953

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.