Evidence map›Paper›PMID 36288148›Full record

ArticleVeterinary sciences2022

Vet-OncoNet: Malignancy Analysis of Neoplasms in Dogs and Cats.

Katia Pinello, Irina Amorim, Isabel Pires, Ana Canadas-Sousa, José Catarino, Pedro Faísca, Sandra Branco, Maria C Peleteiro, Daniela Silva, Milton Severo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. The oncogenome of the domestic cat.Science (New York, N.Y.) · 2026
    Article
  3. Mapping Feline Oncology in Portugal: A National Characterization.Animals : an open access journal from MDPI · 2026
    Article
  4. Article
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  8. Article
  9. Review
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  11. The Beneficial Use ofAnimals : an open access journal from MDPI · 2025
    Review
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  16. Review
  17. Article
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  19. Article
  20. Histopathological changes in testicular lesions in cats.Journal of feline medicine and surgery · 2024
    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

11 authors at 4 institutions in 1 country.

Katia PinelloVet-OncoNet, Departamento de Estudo de Populações, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.ORCID 0000-0002-0870-6281
Irina AmorimDepartamento de Patologia e Imunologia Molecular, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.
Isabel PiresDepartamento de Ciências Veterinárias, Universidade Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal.ORCID 0000-0001-6330-4560
Ana Canadas-SousaDepartamento de Patologia e Imunologia Molecular, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.ORCID 0000-0001-5770-8454
José CatarinoDNAtech, Laboratório de Análises Clínicas Veterinárias, 1649-038 Lisboa, Portugal.
Pedro FaíscaDNAtech, Laboratório de Análises Clínicas Veterinárias, 1649-038 Lisboa, Portugal.ORCID 0000-0002-3922-3602
Sandra BrancoInstituto Mediterrâneo para a Agricultura, Ambiente e Desenvolvimento, MED, Universidade de Évora, 7006-554 Évora, Portugal.ORCID 0000-0003-2987-0854
Maria C PeleteiroVetPat®, Laboratório Veterinário, 2710-297 Lisboa, Portugal.
Daniela SilvaSegalab, Laboratório de Sanidade Animal e Segurança Alimentar, 4490-295 Póvoa de Varzim, Portugal.
Milton SeveroEPIUnit, Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
João Niza-RibeiroVet-OncoNet, Departamento de Estudo de Populações, ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, 4050-313 Porto, Portugal.ORCID 0000-0002-6413-1056
Universidade do Porto · PTUniversidade Lusófona · PTUniversity of Évora · PTUniversity of Trás-os-Montes and Alto Douro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of canine and feline tumor malignancy data can help clinicians identify high-risk patients and make more accurate decisions. Based on a sample of 16,272 cancer records, including 3266 cats and 13,006 dogs, collected from January 2019 to December 2021 in the Vet-OncoNet Network database, this study aimed to compare the tumor malignancy profile between cats and dogs, considering animal-related factors (sex, age, and breed), topography, and geographic location using a mixed-effects logistic regression model. Cats had a higher proportion of malignant tumors (78.7%) than dogs (46.2%), and the malignancy profile was very different regarding tumors' topographies. The mean age of malignant tumors occurred eight months later than benign ones (9.1, SD = 3.4; 9.8, SD = 3.2), in general. Species (OR = 3.96, 95%CI 3.57: 4.39) and topography (MOR = 4.10) were the two most important determinants of malignancy risk. Female dogs had a higher risk than male dogs (OR = 1.19, 95%CI 1.08: 1.31), which does not appear to be the case in cats (OR = 0.98, 95%CI 0.77: 1.23). Breed contributed significantly to differences in malignancy risk in dogs (MOR = 1.56), particularly in pit bulls and boxers. District of residence was not so relevant in predicting malignancy risk (MOR = 1.14). In both species, the risk of malignancy increased by approximately 20% every three years. It could be hypothesized that species differences in genetic structure may contribute to tumor malignancy.

Indexed as

cancercatdogmalignancyveterinary oncology

Identifiers

PMID36288148
PMCPMC9611943
OpenAlexW4298003752

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.