Evidence map›Paper›PMID 41554822›Full record

ArticleScientific reports2026

Factors influencing malignant tumor development in cats from a multicenter retrospective study.

Niccolò Fonti, Azzurra Carnio, Cristiano Cocumelli, Elena Sophie Dhein, Claudia Eleni, Valentina Galietta, Franco Guscetti, Alessio Lachi, Francesca Parisi, Alessandro Poli and 2 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

12 authors.

Niccolò FontiDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, Pisa, 56124, Italy. niccolo.fonti@unipd.it.
Azzurra CarnioIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova1411, Rome, 00178, Italy.
Cristiano CocumelliIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova1411, Rome, 00178, Italy.
Elena Sophie DheinInstitute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 268, Zürich, CH-8057, Switzerland.
Claudia EleniIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova1411, Rome, 00178, Italy.
Valentina GaliettaIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova1411, Rome, 00178, Italy.
Franco GuscettiInstitute of Veterinary Pathology, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 268, Zürich, CH-8057, Switzerland.
Alessio LachiSaint Camillus International University of Health and Medical Sciences (UniCamillus), Via di Sant'Alessandro 8, Rome, 00131, Italy.
Francesca ParisiDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, Pisa, 56124, Italy.
Alessandro PoliDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, Pisa, 56124, Italy.
Paola ScaramozzinoIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova1411, Rome, 00178, Italy.
Francesca MillantaDepartment of Veterinary Sciences, University of Pisa, Viale delle Piagge 2, Pisa, 56124, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal cancer registries (ACRs) are vital tools in veterinary oncology, offering insights into tumor epidemiology and supporting comparative research. Despite cancer being a major cause of feline mortality, data on feline tumor epidemiology remain limited. This study aimed to investigate temporal trends in histologically diagnosed feline tumors and assess how breed, sex, neuter status, age, and geographic origin affect malignancy and tumor distribution. A modified Vet-ICD-O-canine-1 coding system was applied to 5,289 tumors from two pathology-based ACRs in central Italy (2008-2023). Data were analyzed for time trends by the Cochrane-Armitage test, and logistic regression was used to assess the impact of the variables on tumor behavior ("malignant" vs. "benign") and the development of major cancer types. Of all tumors, 4,264 (80.6%) were malignant. Fibrosarcomas (n = 926; 17.5%), adenocarcinomas (n = 814; 15.4%), squamous cell carcinomas (SCCs; n = 738; 14.0%), and lymphomas (n = 507; 9.6%) were the most common types of cancer. Malignancy risk increased by 8% per year of age (OR = 1.08; 95%CI 1.06-1.10). Females (OR = 1.39; 95%CI 1.19-1.62) and non-purebred cats (OR = 1.89; 95%CI 1.47-2.38) had higher odds of malignancy. Neutered status was associated with reduced adenocarcinoma risk (OR = 0.79; 95% CI 0.66-0.94). Temporal trends included rising SCCs (p = 0.001) and declining fibrosarcomas (p < 0.001). These findings support previous findings and identify previously unknown risk factors, underscoring the value of multicenter ACR-based surveillance.

Indexed as

Cat DiseasesNeoplasmsAdenocarcinomaAnimalsCarcinoma, Squamous CellCatsFemaleFibrosarcomaItalyLymphomaMaleRegistriesRetrospective StudiesRisk FactorsAnimal cancer registryCatFibrosarcomaMalignancySquamous cell carcinomaVeterinary oncology

Identifiers

PMID41554822
PMCPMC12886955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.