Evidence map›Paper›PMID 39950811›Full record

ArticlemSphere2025

Prospective comparison of the digestive tract resistome and microbiota in cattle raised in grass-fed versus grain-fed production systems.

Jiye Kwon, Windy Tanner, Yong Kong, Martina Wade, Chad Bitler, Marilia B Chiavegato, Melinda M Pettigrew

Abstract readComparative Study
In one paragraph

Article in mSphere, 2025. 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. Prebiotics and probiotics in animal nutrition: implications for food safety, sustainability, and circular production systems.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Review
  2. Article
  3. Review
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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.

Jiye KwonDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-2707-3547
Windy TannerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Yong KongDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Martina WadeDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Chad BitlerGreenacres Foundation Inc., Cincinnati, Ohio, USA.
Marilia B ChiavegatoDepartments of Horticulture and Crop Science and Animal Sciences, The Ohio State University, Columbus, Ohio, USA.
Melinda M PettigrewDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0001-8145-7536

Funding

Greenacres Foundation 20-006612
6 · The paper itself

Abstract

Most antimicrobials sold in the United States are used in food animals. Farm management practices contribute to antibacterial resistance (AR). Controversially, grass-fed diets have been recommended over grain-fed diets to reduce AR in beef cattle. Ionophore feed additives (non-therapeutic antibiotics that enhance feed efficiency) may contribute to AR development. We used shotgun metagenomic sequencing of fecal swabs to prospectively compare the cattle gastrointestinal resistome and microbiota in two different production systems over five periods from pre-weaning to pre-harvest. Cattle were grass-fed and pasture-raised (system A,

Indexed as

Animal FeedBacteriaDietDrug Resistance, BacterialGastrointestinal MicrobiomeGastrointestinal TractPoaceaeAnimal HusbandryAnimalsAnti-Bacterial AgentsCattleEdible GrainFecesMetagenomicsProspective StudiesAnti-Bacterial Agentsantibiotic resistancebovinemicrobiotaresistome

Identifiers

PMID39950811
PMCPMC11934311

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.