Evidence map›Paper›PMID 42230358›Full record

ArticleInternational journal of legal medicine2026

Five years of veterinary forensic necropsies in the Netherlands: a retrospective analysis of non-human cases.

Monique Verkerk, Thomas P Shehata

Abstract read
In one paragraph

Article in International journal of legal medicine, 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

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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

2 authors.

Monique Verkerk *Stichting Forensisch Dierenonderzoek, Dorpsstraat 253, Warmenhuizen, 1749 AE, The Netherlands.
Thomas P Shehata *Department of Biomedical Engineering and Physics, Amsterdam UMC, location AMC, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands. t.p.shehata@amsterdamumc.nl.ORCID http://orcid.org/0009-0008-1913-5120

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study a five-year retrospective analysis (2020-2024) of veterinary forensic necropsies in the Netherlands is presented, based on 346 necropsies out of 390 total submissions to Stichting Forensisch Dierenonderzoek (Forensic Animal Research Foundation), involving suspected non-natural deaths with potential forensic relevance. The objective was to characterize animal abuse cases by assessing species involvement, presumptive causes and manners of death based on gross findings, and regional, temporal, and procedural patterns. Forensic necropsies were performed according to standardized internal protocols, and data were analysed using descriptive and inferential statistics. The majority of examined animals were companion species, particularly dogs (41.8%) and cats (28.5%). Presumptively classified non-natural deaths accounted for 66.8% of cases, while natural deaths represented 9.5%, accidents 8.4%, and undetermined cases 15.3%. Among non-natural deaths, blunt force trauma (30.3%) and neglect or deprivation (26.4%) were the most frequent causes, based on gross necropsy findings. Seasonal variation in decomposition stage and regional disparities in submissions were observed. Submission and packaging practices improved modestly over time, yet forensic standards were not consistently met. Legal outcomes were retrieved for 80 cases: most resulted in minor penalties such as fines or community service, with only one case leading to imprisonment exceeding six months. These findings underscore the dominance of violent and neglect-related deaths in Dutch veterinary forensic caseloads and emphasize the need for standardized protocols, interdisciplinary collaboration, and institutional support for veterinary forensic science in the Netherlands.

Indexed as

PetsAnimalsAutopsyCatsCause of DeathDogsFemaleForensic PathologyNetherlandsPostmortem ChangesRetrospective StudiesSeasonsAnimal abuseNecropsyNeglect and deprivationPostmortemVeterinary forensic science

Identifiers

PMID42230358
PMCPMC13499755

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.