Evidence map›Paper›PMID 42076746›Full record

ArticleVeterinary sciences2026

Prevalence, Clinical Signs, Diagnosis and Treatment of Post-Pandemic SARS-CoV-2 Infection in Cats in 2023: Co-Infection with FHV, FCV,

Ivo Sirakov, Milena Krastanova, Nikolina Rusenova, Stoyan Shishkov, Anton Rusenov, Bilyana Sirakova, Kalina Mihova, Kalina Shishkova

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ivo SirakovDepartment of Medical Microbiology, Faculty of Medicine, Medical University of Sofia, 2 Zdrave Str., 1431 Sofia, Bulgaria.ORCID 0000-0002-4765-3231
Milena KrastanovaDepartment of Anatomy, Physiology and Animal Sciences, Faculty of Veterinary Medicine, University of Forestry, 1756 Sofia, Bulgaria.ORCID 0009-0007-6131-0052
Nikolina RusenovaDepartment of Veterinary Microbiology, Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria.ORCID 0000-0001-8023-2685
Stoyan ShishkovLaboratory of Virology, Faculty of Biology, University of Sofia, 8 Dragan Tzankov Blvd., 1164 Sofia, Bulgaria.ORCID 0000-0002-8203-3812
Anton RusenovDepartment of Internal Diseases, Faculty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria.
Bilyana SirakovaLaboratory of Virology, Faculty of Biology, University of Sofia, 8 Dragan Tzankov Blvd., 1164 Sofia, Bulgaria.ORCID 0009-0008-5448-6444
Kalina MihovaMolecular Medicine Center, Department of Medical Chemistry and Biochemistry, Faculty of Medicine, Medical University of Sofia, 1431 Sofia, Bulgaria.ORCID 0000-0001-5657-9443
Kalina ShishkovaLaboratory of Virology, Faculty of Biology, University of Sofia, 8 Dragan Tzankov Blvd., 1164 Sofia, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is a zoonotic virus with a proven ability to infect various animal species, including domestic cats. In the post-pandemic period of COVID 19, limited data still exist on the clinical course, shedding of infectious virus and diagnostic features in cats. The aim of this study was to investigate the spread of SARS-CoV-2 in cats in 2023, the clinical manifestations of the infection, the diagnostic algorithm, including molecular detection of viral components, the differential diagnosis of co-infection with FHV, FCV,

Indexed as

animalsco-infectionpathogenspost-pandemicSARS-CoV-2upper respiratory tract

Identifiers

PMID42076746
PMCPMC13119600

What OpenQuestion holds

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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.