Evidence map›Paper›PMID 38672364›Full record

ArticleAnimals : an open access journal from MDPI2024

Detection of Feline Coronavirus in Bronchoalveolar Lavage Fluid from Cats with Atypical Lower Airway and Lung Disease: Suspicion of Virus-Associated Pneumonia or Pneumonitis.

Wei-Tao Chang, Pin-Yen Chen, Pei-Ying Lo, Hui-Wen Chen, Chung-Hui Lin

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Wei-Tao ChangNational Taiwan University Veterinary Hospital, National Taiwan University, Taipei 10672, Taiwan.ORCID 0009-0009-3366-9046
Pin-Yen ChenNational Taiwan University Veterinary Hospital, National Taiwan University, Taipei 10672, Taiwan.ORCID 0009-0000-5265-2201
Pei-Ying LoLab of Small Animal Respiratory and Cardiovascular Medicine, TACS-Alliance Research Center, Taipei, 10672, Taiwan.
Hui-Wen ChenDepartment of Veterinary Medicine, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0002-0595-3420
Chung-Hui LinNational Taiwan University Veterinary Hospital, National Taiwan University, Taipei 10672, Taiwan.ORCID 0000-0002-5276-3179
National Taiwan University · TWNational Taiwan University Hospital · TW

Funding

National Science and Technology Council NSTC 111-2313-B-002-062-National Taiwan University 113L892501
6 · The paper itself

Abstract

The premortem understanding of the role of feline coronavirus (FeCoV) in the lungs of cats is limited as viruses are seldom inspected in the bronchoalveolar lavage (BAL) specimens of small animal patients. This study retrospectively analyzed the prevalence of FeCoV in BAL samples from cats with atypical lower airway and lung disease, as well as the clinical characteristics, diagnostic findings, and follow-up information. Of 1162 clinical samples submitted for FeCoV RT-nPCR, 25 were BAL fluid. After excluding 1 case with chronic aspiration, FeCoV was found in 3/24 (13%) BAL specimens, with 2 having immunofluorescence staining confirming the presence of FeCoV within the cytoplasm of alveolar macrophages. The cats with FeCoV in BAL fluid more often had pulmonary nodular lesions (66% vs. 19%,

Indexed as

bronchoalveolar lavagefeline coronavirusfeline infectious peritonitislower airwaylungpneumoniapneumonitis

Identifiers

PMID38672364
PMCPMC11047629
OpenAlexW4394923287

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.