Evidence map›Paper›PMID 33521974›Full record

ArticleThe Journal of small animal practice2021

Frequency of respiratory pathogens and SARS-CoV-2 in canine and feline samples submitted for respiratory testing in early 2020.

H T Michael, T Waterhouse, M Estrada, M A Seguin

Abstract read
In one paragraph

Article in The Journal of small animal practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  7. Clinical microbiology reviews · 2023
    Review
  8. Article
  9. Article
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  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. SARS-CoV-2 Clinical Outcome in Domestic and Wild Cats: A Systematic Review.Animals : an open access journal from MDPI · 2021
    Review
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

4 authors.

H T MichaelIDEXX Laboratories, Inc, 1 IDEXX Drive, Westbrook, ME, 04092, USA.
T WaterhouseIDEXX Laboratories, Inc, 1 IDEXX Drive, Westbrook, ME, 04092, USA.
M EstradaIDEXX Laboratories, Inc, 2825 KOVR Dr, West Sacramento, CA, 95605, USA.
M A SeguinIDEXX Laboratories, Inc, 1 IDEXX Drive, Westbrook, ME, 04092, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe emergence of the 2019 novel coronavirus (SARS-CoV-2) has necessitated evaluation of the potential for SARS-CoV-2 infection in dogs and cats. Using a large data set, we evaluated the frequency of SARS-CoV-2 and other respiratory pathogens in samples submitted for respiratory testing from mid-February to mid-April 2020. MATERIALS AND

methodsA SARS-CoV-2 real-time PCR was developed and validated. A subset of canine and feline samples submitted for respiratory pathogen panel testing to reference laboratories in Asia, Europe, and North America were also tested for SARS-CoV-2. The frequency of respiratory pathogens was compared for the February-April period of 2020 and 2019.

resultsSamples from 4616 patients were included in the study and 44% of canine and 69% of feline samples were PCR positive with Mycoplasma cynos and Bordetella bronchiseptica and Mycoplasma felis and feline calicivirus, respectively. No SARS-CoV-2 infections were identified. Positive results for respiratory samples were similar between years. CLINICAL SIGNIFICANCE: The data in this study suggest that during the emergence of the SARS-CoV-2 pandemic in early 2020, respiratory diseases in tested pet cats and dogs were caused by common veterinary pathogens and that SARS-CoV-2 infections in dogs and cats are rare.

Indexed as

Cat DiseasesCOVID-19Dog DiseasesAnimalsAsiaCatsDogsEuropeMycoplasmaSARS-CoV-2

Identifiers

PMID33521974
PMCPMC8014115

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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.