Evidence map›Paper›PMID 40874630›Full record

ArticleJournal of veterinary internal medicine

Enriched Shotgun Sequencing to Assess the Effects of Interventions to Reduce Antimicrobial Use in Neonatal Dairy Calves.

Rebecca Flancman, Enrique Doster, Diego E Gomez, Nicole Ricker, Paul S Morley, J Scott Weese

Abstract read
In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Rebecca FlancmanDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID https://orcid.org/0000-0002-2568-1696
Enrique DosterVeterinary Education, Research, and Outreach (VERO) Program, Texas A&M University and West Texas A&M University, Canyon, Texas, USA.
Diego E GomezDepartment of Internal Medicine, Abu Dhabi Equine and Camel Hospital, Abu Dhabi, UAE.ORCID https://orcid.org/0000-0001-7495-4868
Nicole RickerDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Paul S MorleyVeterinary Education, Research, and Outreach (VERO) Program, Texas A&M University and West Texas A&M University, Canyon, Texas, USA.ORCID https://orcid.org/0000-0001-8138-2714
J Scott WeeseDepartment of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.ORCID https://orcid.org/0000-0003-1896-1937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal diarrhea accounts for 20%-25% of morbidity among calves, and antimicrobial drugs (AMDs) are often administered for treatment. Systematic approaches that mitigate antimicrobial use (AMU) can be effective in decreasing antimicrobial resistance (AMR). HYPOTHESIS/

objectivesTo determine the effects of an algorithmic farm-based intervention that reduced AMU for diarrhea on the community structure of antimicrobial resistance genes (ARGs) identified in the feces of healthy dairy calves. ANIMALS: Thirty-one fecal dairy calf samples collected at two timepoints and farms (N = 7-8 per sampling point) were used. Samples were obtained before AMU reductions and 12 months afterward.

methodsTarget-enriched shotgun sequencing was performed to characterize all ARGs in samples. Bioinformatics processing and statistical analysis were performed using the AMR++ pipeline, MEGARes AMR database, and R.

resultsPre-intervention comparisons showed increased relative abundances (RA) consistent with the AMU on each farm. Intra-farm results showed that on Farm 1, there were significant increases in the RA of ARGs for tetracyclines (22.1%-27.4%, q = 0.02) and fluoroquinolones (0%-0.1%, q < 0.0001) in the Post period. On Farm 2, significant decreases were seen over time in the RA of ARGs for sulfonamides (9.6%-5.1%, q = 0.006) and fluoroquinolones (0.77%-0.12%, q = 0.004). CONCLUSIONS AND CLINICAL IMPORTANCE: Despite similar reductions in AMU on both farms, implementing an antimicrobial stewardship algorithm was associated with differing effects on and changes to the fecal resistome.

Indexed as

Anti-Bacterial AgentsCattle DiseasesDiarrheaAnimalsAnimals, NewbornCattleDairyingDrug Resistance, BacterialFecesShotgun SequencingAnti-Bacterial Agentsantimicrobial resistanceantimicrobial stewardshipcattlediarrheafecal resistomemetagenomics

Identifiers

PMID40874630
PMCPMC12392287

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.