Evidence map›Paper›PMID 35766106›Full record

ArticleJournal of applied microbiology2022

Metaphylactic antimicrobial effects on occurrences of antimicrobial resistance in Salmonella enterica, Escherichia coli and Enterococcus spp. measured longitudinally from feedlot arrival to harvest in high-risk beef cattle.

Nathan S Long, James E Wells, Elaine D Berry, Jerrad F Legako, Dale R Woerner, Guy H Loneragan, Paul R Broadway, Jeff A Carroll, Nicole C Burdick Sanchez, Samodha C Fernando and 6 more

Open access · bronzeAbstract readRandomized Controlled Trial, Veterinary
In one paragraph

Article in Journal of applied microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Antimicrobial usage in broiler poultry farms in Zambia.Frontiers in veterinary science · 2026
    Article
  3. Article
  4. Article
  5. 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

16 authors at 4 institutions in 1 country.

Nathan S LongDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
James E WellsUSDA-ARS, U.S. Meat Animal Research Center, Clay Center, Nebraska, USA.ORCID https://orcid.org/0000-0002-9039-5434
Elaine D BerryUSDA-ARS, U.S. Meat Animal Research Center, Clay Center, Nebraska, USA.
Jerrad F LegakoDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Dale R WoernerDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Guy H LoneraganTexas Tech University, School of Veterinary Medicine, Amarillo, Texas, USA.
Paul R BroadwayUSDA-ARS, Livestock Issues Research Unit, Lubbock, Texas, USA.
Jeff A CarrollUSDA-ARS, Livestock Issues Research Unit, Lubbock, Texas, USA.
Nicole C Burdick SanchezUSDA-ARS, Livestock Issues Research Unit, Lubbock, Texas, USA.
Samodha C FernandoDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Carley M BaconDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Cory L HelmuthDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Taylor M SmockDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Jeff L ManahanDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Ashley A HoffmanDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.
Kristin E HalesDepartment of Animal & Food Sciences, Texas Tech University, Lubbock, Texas, USA.ORCID https://orcid.org/0000-0003-3344-9800
Texas Tech University · USIssues Research · USRoman L. Hruska U.S. Meat Animal Research Center · USUniversity of Nebraska–Lincoln · US

Funding

National Institute of Food and Agriculture 2020-68015-30857U.S. Department of Agriculture
6 · The paper itself

Abstract

aimsOur objective was to determine how injectable antimicrobials affected populations of Salmonella enterica, Escherichia coli and Enterococcus spp. in feedlot cattle. METHODS AND

resultsTwo arrival date blocks of high-risk crossbred beef cattle (n = 249; mean BW = 244 kg) were randomly assigned one of four antimicrobial treatments administered on day 0: sterile saline control (CON), tulathromycin (TUL), ceftiofur (CEF) or florfenicol (FLR). Faecal samples were collected on days 0, 28, 56, 112, 182 and study end (day 252 for block 1 and day 242 for block 2). Hide swabs and subiliac lymph nodes were collected the day before and the day of harvest. Samples were cultured for antimicrobial-resistant Salmonella, Escherichia coli and Enterococcus spp. The effect of treatment varied by day across all targeted bacterial populations (p ≤ 0.01) except total E. coli. Total E. coli counts were greatest on days 112, 182 and study end (p ≤ 0.01). Tulathromycin resulted in greater counts and prevalence of Salmonella from faeces than CON at study end (p ≤ 0.01). Tulathromycin and CEF yielded greater Salmonella hide prevalence and greater counts of 128ERY

conclusionsAntimicrobial resistance (AMR) in feedlot cattle is not caused solely by using a metaphylactic antimicrobial on arrival, but more likely a multitude of environmental and management factors.

Indexed as

Anti-Infective AgentsCattle DiseasesEscherichia coli InfectionsSalmonella entericaAnimalsAnti-Bacterial AgentsCattleDrug Resistance, BacterialEnterococcusEscherichia coliFecesSalmonellaAnti-Bacterial AgentsAnti-Infective Agentsantimicrobial resistanceEnterococcusEscherichia colifeedlot cattleinjectable antimicrobialsMetaphylaxisSalmonella

Identifiers

PMID35766106
PMCPMC9546201
OpenAlexW4283688820

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.