Evidence map›Paper›PMID 36642537›Full record

ArticleThe Journal of veterinary medical science2023

Role of autopsy imaging in veterinary forensic medicine: experiences in 39 cases.

Kazutaka Yamada, Kanako Satoh, Eiichi Kanai, Hiroo Madarame

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 1 institution in 1 country.

Kazutaka YamadaSchool of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Kanako SatohVeterinary Teaching Hospital, Azabu University, Kanagawa, Japan.
Eiichi KanaiSchool of Veterinary Medicine, Azabu University, Kanagawa, Japan.
Hiroo MadarameVeterinary Teaching Hospital, Azabu University, Kanagawa, Japan.
Azabu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While numerous scientific studies have suggested the usefulness of autopsy imaging (Ai) in the field of human forensic medicine, the use of imaging modalities for the purpose of veterinary forensics is currently scant. The current study performed Ai on suspicious dead animals requested by the police department to determine their cause of death. Radiography and/or computed tomography and/or magnetic resonance imaging were performed on 39 suspicious dead animals before necropsy. After diagnostic imaging, pathological examination was performed, with drug testing added as needed. Among the 39 cases, 28, 6, 3, 1, and 1 involved cats, dogs, rabbits, a ferret, and a pigeon, respectively. The major Ai findings included skull and rib fractures, subcutaneous emphysema, pneumothorax, pneumoperitoneum, diaphragmatic hernia, and abdominal rupture. The leading causes of death, determined comprehensively via Ai and pathological reports and drug test results, included traumatic impact, blood loss, poisoning, suffocation, tension pneumothorax, starvation, and drowning, all of which have been strongly suspected to indicate animal abuse by humans. All eight cases of skull fractures and all five cases of poisoning, including suspected poisoning, were of cats. As the numbers of dogs and cats in Japan are almost equal, violence against cats may occur more frequently than dogs. Ai can be a valuable examination tool for veterinary forensic cases. As computed tomography is useful for ruling out fractures that screening computed tomography before necropsy is a more practical option for veterinary forensics.

Indexed as

Cat DiseasesDog DiseasesAnimalsAutopsyCatsDogsFerretsForensic MedicineHumansRabbitsTomography, X-Ray Computedanimal abuseautopsy imagingcomputed tomographyforensic

Identifiers

PMID36642537
PMCPMC10076196
OpenAlexW4315777944

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.