Evidence map›Paper›PMID 36328540›Full record

ArticleAustralian veterinary journal2022

Efficiency-corrected PCR quantification for identification of prevalence and load of respiratory disease-causing agents in feedlot cattle.

R J Barnewall, I B Marsh, T M Williams, Pmv Cusack, N Sales, F Galea, A N Szentirmay, J C Quinn

Open access · hybridAbstract read
In one paragraph

Article in Australian veterinary journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 3 institutions in 3 countries.

R J BarnewallSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales, 2678, Australia.ORCID https://orcid.org/0000-0001-5206-686X
I B MarshNSW DPI, Elizabeth Macarthur Agricultural Institute, PMB 4008, Narellan, New South Wales, 2567, Australia.
T M WilliamsSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales, 2678, Australia.ORCID https://orcid.org/0000-0001-7205-2270
Pmv CusackSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales, 2678, Australia.
N SalesNSW DPI, Elizabeth Macarthur Agricultural Institute, PMB 4008, Narellan, New South Wales, 2567, Australia.ORCID https://orcid.org/0000-0001-9841-7661
F GaleaNSW DPI, Elizabeth Macarthur Agricultural Institute, PMB 4008, Narellan, New South Wales, 2567, Australia.
A N SzentirmayGene Target Solutions Pty Ltd, Unit 3C, Building 4, 256B New Line Road, Dural, New South Wales, 2158, Australia.
J C QuinnSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Locked Bag 588, Wagga Wagga, New South Wales, 2678, Australia.ORCID https://orcid.org/0000-0002-9310-0291
Charles Sturt University · AUNew South Wales Department of Primary Industries · AUTarget (United States) · US

Funding

Australian Government Research Training Program ScholarshipCharles Sturt UniversityMeat and Livestock AustraliaNew South Wales Department of Primary Industries P.PSH.0873NSW Department of Primary IndustriesThe Graham Centre for Agricultural Innovation and Meat and Livestock Australia
6 · The paper itself

Abstract

Bovine respiratory disease (BRD) is the most prevalent disease in feedlot cattle worldwide with Bovine alphaherpesvirus 1 (BoAHV1), Histophilus somni, Mannheimia haemolytica, Mycoplasma bovis, Pasteurella multocida and Trueperella pyogenes accepted to be common etiological agents associated with BRD. Although these agents are common in the upper and lower airways in clinical BRD cases, some also exist as normal flora suggesting their presence in the upper airways alone is not necessarily informative with respect to disease status or risk. To determine the relationship between presence, load and disease status, we investigated the relationship between load in the upper airways at induction and active BRD cases in feedlot cattle using efficiency-corrected PCR quantification. By this approach, we were able to accurately determine the prevalence and load of the key BRD agents in the upper respiratory tract showing that cattle in the hospital pen had a higher prevalence, and load, of these agents both singly and in combination compared to cattle sampled at feedlot induction. A combination of agents was the most accurate indicator of BRD risk with cattle with four or more agents detected in the upper airway more likely to be undergoing treatment for BRD than non-BRD ailments. In addition, M. bovis was rarely detected at feedlot induction but was identified at high prevalence in cattle in the hospital pen. These findings present a potential new technological approach for the investigation, analysis and identification of BRD-associated viral and bacterial agents for Australian feedlot systems as well as for BRD disease management and treatment.

Indexed as

Bovine Respiratory Disease ComplexCattle DiseasesMannheimia haemolyticaAnimalsAustraliaCattlePolymerase Chain ReactionPrevalencebovine respiratory diseaseBRDefficiency-corrected quantificationMycoplasma bovispolymerase chain reactionqPCR

Identifiers

PMID36328540
PMCPMC9804408
OpenAlexW4292488316

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.