Evidence map›Paper›PMID 42207750›Full record

ArticlePloS one2026

A scoring system for euthanasia decisions in rescued raccoon dogs (Nyctereutes procyonoides): Standardized criteria in wildlife rehabilitation.

Bong Kyun Kim, Soo Hyung Eo

Abstract read
In one paragraph

Article in PloS one, 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
–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

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.

Bong Kyun KimDepartment of Forest Science, Kongju National University, Yesan, Chuncheongnam-do, Korea.ORCID https://orcid.org/0000-0002-0386-2971
Soo Hyung EoDepartment of Forest Science, Kongju National University, Yesan, Chuncheongnam-do, Korea.ORCID https://orcid.org/0000-0001-6719-1612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild animal rescue and control centers routinely encounter situations that require evaluating a rescued animal's potential for recovery and making decisions on appropriate treatment, rehabilitation, or euthanasia. However, currently, scientific standards to guide these decisions are lacking, and frequent reliance on empirical judgment leads to application of subjective criteria for euthanasia. Therefore, this study aimed to analyze factors affecting rescue outcomes in 1,376 raccoon dogs rescued by the Chungnam Wild Animal Rescue Center over 13 years, to predict the likelihood of release, and to develop a system to inform euthanasia decisions. The model that best predicted the release of rescued raccoon dogs included the cause of the accident, season, and level of injury. Based on this, a scored assessment support system was constructed, and raccoon dogs were classified into a 'low-risk group,' requiring active treatment and rehabilitation owing to the high likelihood of live release, a 'medium-risk group,' requiring mid-to-long-term euthanasia decisions through close monitoring and re-assessment, and a 'high-risk' group, for which immediate euthanasia may be considered because of the extremely low probability of release. The proposed scoring-based euthanasia decision support system integrates clinical and situational factors and remains practical by relying on data that can be readily obtained in the field immediately after rescue. Therefore, by supporting rapid, consistent decision-making and using basic data to prepare standardized euthanasia guidelines, this system can improve animal welfare and operational efficiency.

Indexed as

Animals, WildEuthanasiaEuthanasia, AnimalRaccoon DogsAnimalsDecision MakingFemaleMale

Identifiers

PMID42207750
PMCPMC13218504

What OpenQuestion 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 OpenQuestion graph.