ArticlemSphere2023
Insight into antimicrobial resistance at a new beef cattle feedlot in western Canada.
Article in mSphere, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- GlobalEnvironmental science and ecotechnology · 2026Article
- Comparison of short nasal swab and deep nasopharyngeal swab sampling methods to describe BRD-associated viruses and bacteria detected using a metagenomics approach optimized for virus recovery in fall-placed beef calves shortly after feedlot arrival.Veterinary and animal science · 2026Article
- Characterisation of the bacterial and archaeal microbiota in processed colostrum collected from a spring-calving dairy herd.PloS one · 2026Article
- Enhanced metagenomic surveillance for bovine respiratory disease pathogens and antimicrobial resistance by hybridization capture sequencing.Applied and environmental microbiology · 2025Article
- Retrospective analysis of antimicrobial resistance associated with bovine respiratory disease.Applied and environmental microbiology · 2025Article
- Aggregate Sampling to Detect Pathogens and Antimicrobial Resistance Genes Associated with Bovine Respiratory Disease in US Feedlots: A Pilot Study.Veterinary sciences · 2025Article
- Identification, characterization, and distribution of novel amidase geneApplied and environmental microbiology · 2024Article
- Synthetic antimicrobial peptides Bac-5, BMAP-28, and Syn-1 can inhibit bovine respiratory disease pathogensFrontiers in veterinary science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
importanceA better understanding of how environmental reservoirs of ARGs in the feedlot relate to those found in animal pathogens will help inform and improve disease management, treatment strategies, and outcomes. Monitoring individual cattle or small groups is invasive, logistically challenging, expensive, and unlikely to gain adoption by the beef cattle industry. Wastewater surveillance has become standard in public health studies and has inspired similar work to better our understanding of AMR in feedlots. We derived our insights from sampling water bowls in a newly established feedlot: a unique opportunity to observe AMR prior to animal arrival and to monitor its development over 2 months. Importantly, the bacterial community of a single water bowl can be influenced by direct contact with hundreds of animals. Our results suggest that water bowl microbiomes are economical and pragmatic sentinels for monitoring relevant AMR mechanisms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.