Evidence map›Paper›PMID 32907695›Full record

ArticleComparative medicine2020

Evaluation of a

Joe S Smith, Jonathan P Mochel, Yeon-Jung Seo, Amanda P Ahrens, Ronald W Griffith

Open access · greenAbstract read
In one paragraph

Article in Comparative medicine, 2020. 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
0.1field-weighted citation impact, top 50% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Microorganisms · 2024
    Article
  5. Effects ofAnimals : an open access journal from MDPI · 2022
    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

5 authors at 1 institution in 1 country.

Joe S SmithVeterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa; Systems Modelling and Reverse Translational Pharmacology, Iowa State University, Ames, Iowa; Biomedical Sciences, Iowa State University, Ames, Iowa; Current affiliation. Large Animal Clinical Sciences, College of Veterinary Medicine, University of Tennessee;, Email: joesmith@utk.edu.
Jonathan P MochelVeterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, Iowa; Systems Modelling and Reverse Translational Pharmacology, Iowa State University, Ames, Iowa; Biomedical Sciences, Iowa State University, Ames, Iowa.
Yeon-Jung SeoSystems Modelling and Reverse Translational Pharmacology, Iowa State University, Ames, Iowa; Biomedical Sciences, Iowa State University, Ames, Iowa.
Amanda P AhrensLaboratory Animal Resources, Iowa State University, Ames, Iowa.
Ronald W GriffithVeterinary Microbiology and Preventive Medicine, Iowa State University, Ames, Iowa.
Iowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious respiratory diseases are a serious health concern worldwide. However, few models describe the experimental induction of lung infection, or the effect of experimental infection on clinical pathologic parameters in goats. Goats offer benefits compared to cattle because of size and tractability and compared to sheep with regard to specific features of their anatomy. In previous experimental models of infection in goats, coadministration of an immunosuppressive dose of a corticosteroid is common; however, protocols that use corticosteroid often note mortality as an adverse effect. We therefore investigated an infection protocol that did not use immunosuppression but instead relied on 2 intratracheal inoculations of

Indexed as

Goat DiseasesPasteurella multocidaAnimalsCattleGoatsSheep

Identifiers

PMID32907695
PMCPMC7574216
OpenAlexW3085640312

What OpenQuestion holds

Textmetadata
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.