Evidence map›Paper›PMID 41096487›Full record

ArticleAnimals : an open access journal from MDPI2025

Evolution of Suspected Cat Abuse Between 2020 and 2024 in the Community of Madrid (Spain).

Nicolás Aradilla, Javier María De Pablo-Moreno, Néstor Porras, Blanca Chinchilla, Antonio Rodríguez-Bertos

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

5 authors.

Nicolás AradillaVISAVET Health Surveillance Center, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0009-0007-6149-0591
Javier María De Pablo-MorenoVISAVET Health Surveillance Center, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0009-0008-1299-2592
Néstor PorrasVISAVET Health Surveillance Center, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-2876-8850
Blanca ChinchillaVISAVET Health Surveillance Center, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-0679-9023
Antonio Rodríguez-BertosVISAVET Health Surveillance Center, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-9543-313X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the well-established link between animal abuse and interpersonal violence, animal mistreatment remains a global issue. Challenges such as inconsistent legislation, limited training of specialized pathologists, and lack of regional data persist and must be addressed. In Spain, the real incidence of animal abuse is unknown, and the literature on the topic remains scarce. This study aims to assess the evolution of feline abuse cases in the Community of Madrid, Spain, since the publication of a previous study in the same region. Over a five-year period (2020-2024), 53 cats with suspected abuse were diagnosed at the Pathology and Forensic Veterinary Unit of the VISAVET Health Surveillance Center. Thirty-one cats (58.49%) died from non-natural causes: 17 (32.07%) due to blunt force trauma, eight (15.09%) due to poisoning, and six (11.32%) due to projectile injuries. Natural causes accounted for 21 cases (39.62%). Compared to the previous study, data suggest a possible upward trend in the number of cats referred with suspected animal abuse, including eight new cases of ethylene glycol poisoning. The correlation between the type of suspected abuse and final diagnosis was very low. This article examines current challenges related to animal violence, with particular emphasis on feline colonies, and promotes awareness among both veterinary and non-veterinary professionals.

Indexed as

cat abusefeline coloniesforensic necropsynon-natural deathpathologyveterinary forensics

Identifiers

PMID41096487
PMCPMC12523493

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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.