Evidence map›Paper›PMID 32961915›Full record

ArticleAnimals : an open access journal from MDPI2020

A Statistical Analysis of Risk Factors and Biological Behavior in Canine Mammary Tumors: A Multicenter Study.

Giovanni P Burrai, Andrea Gabrieli, Valentina Moccia, Valentina Zappulli, Ilaria Porcellato, Chiara Brachelente, Salvatore Pirino, Marta Polinas, Elisabetta Antuofermo

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  3. Article
  4. The role of epigenetic alterations in canine mammary cancer.The Journal of reproduction and development · 2026
    Review
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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

9 authors at 3 institutions in 1 country.

Giovanni P BurraiDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Andrea GabrieliDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Valentina MocciaDepartment of Comparative Biomedicine and Food Science, University of Padova, AGRIPOLIS-Viale dell'Università 16, 35020 Legnaro Padua, Italy.
Valentina ZappulliDepartment of Comparative Biomedicine and Food Science, University of Padova, AGRIPOLIS-Viale dell'Università 16, 35020 Legnaro Padua, Italy.
Ilaria PorcellatoDepartment of Veterinary Medicine, University of Perugia, 06123 Perugia, Italy.
Chiara BrachelenteDepartment of Veterinary Medicine, University of Perugia, 06123 Perugia, Italy.
Salvatore PirinoDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Marta PolinasDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Elisabetta AntuofermoDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
University of Sassari · ITUniversity of Padua · ITUniversity of Perugia · IT

Funding

Università degli Studi di Sassari Fondo di Ateneo per la ricerca 2019
6 · The paper itself

Abstract

Canine mammary tumors (CMTs) represent a serious issue in worldwide veterinary practice and several risk factors are variably implicated in the biology of CMTs. The present study examines the relationship between risk factors and histological diagnosis of a large CMT dataset from three academic institutions by classical statistical analysis and supervised machine learning methods. Epidemiological, clinical, and histopathological data of 1866 CMTs were included. Dogs with malignant tumors were significantly older than dogs with benign tumors (9.6 versus 8.7 years,

Indexed as

agebreeddogsmachine learningmammary tumor sizereproductive and hormonal status

Identifiers

PMID32961915
PMCPMC7552647
OpenAlexW3087586801

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.