Evidence map›Paper›PMID 41328794›Full record

ArticleJournal of feline medicine and surgery2026

Vaginal cytology in the queen: clinical and cytological correlations.

Maria Pereira, Francesca Campana, Stefano Romagnoli

Abstract read
In one paragraph

Article in Journal of feline medicine and surgery, 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
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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

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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

3 authors.

Maria PereiraDepartment of Animal Medicine, Production and Health, University of Padova, Padova, Italy.ORCID 0009-0001-1394-0638
Francesca CampanaDepartment of Animal Medicine, Production and Health, University of Padova, Padova, Italy.
Stefano RomagnoliDepartment of Animal Medicine, Production and Health, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivesThe aim of this study was to characterise vaginal cytological patterns and standardise its interpretation in female cats. Vaginal cytology has a broadly recognised value for oestrous cycle staging because of the responsiveness of the vaginal epithelium to oestrogens causing changes in the cellular pattern. Unlike the bitch, vaginal cytology is not routinely used in queens.MethodsA total of 39 vaginal smears were collected from 31 intact queens using a simple and quick procedure with little, if any, physical restraint, analysed for cellularity, clearing, epithelial cell types and the presence of red blood cells or neutrophils. Queens were classified in different oestrous phases based on reproductive history and serum progesterone levels.ResultsThe 39 vaginal smears were classified as proestrus (n = 1), oestrus (n = 9), interoestrus (n = 10), dioestrus (n = 9) and anoestrus (n = 9). One vaginal smear was not allocated to any cycle phase because the queen was diagnosed with pyometra. Cellularity was poor in 21/39 smears, from which eight were from queens in oestrus. Cytological oestrus was characterised by 90% or more keratinised epithelial cells, unlike previously reported, and presence of clearing in a scarce to modestly cellular smear.Conclusions and relevanceProgesterone concentration is needed to differentiate interoestrus from dioestrus because of the mixed-cell population on vaginal cytology. Keratinised vaginal cells are consistently found in the anoestrus smears of queens and should not lead clinicians to assume the queen is cycling. Neutrophils can be present in the different oestrous cycles in cats without being associated with clinical signs of disease, unlike red blood cells. These findings demonstrate that vaginal cytology can be a useful tool in feline practice for managing reproductive presenting complaints.

Indexed as

Estrous CycleVaginaVaginal SmearsAnimalsCatsFemalecolpocytologykeratinised cellsoestrous cycleVaginal smear

Identifiers

PMID41328794
PMCPMC12924952

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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.