Evidence map›Paper›PMID 41150083›Full record

ArticleVeterinary sciences2025

Clinical Reasoning About Timely Euthanasia of Compromised Pigs.

Julia Kschonek, Tristan Winkelmann, Lothar Kreienbrock, Elisabeth Grosse Beilage

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Julia KschonekInstitute for Biometry, Epidemiology and Information Processing, University of Veterinary Medicine Hannover, 30559 Hannover, Germany.
Tristan WinkelmannInstitute for Biometry, Epidemiology and Information Processing, University of Veterinary Medicine Hannover, 30559 Hannover, Germany.ORCID 0009-0003-4857-8610
Lothar KreienbrockInstitute for Biometry, Epidemiology and Information Processing, University of Veterinary Medicine Hannover, 30559 Hannover, Germany.
Elisabeth Grosse BeilageField Station for Epidemiology, University of Veterinary Medicine Hannover, 49456 Bakum, Germany.

Funding

BLE and BMEL 28N-2-008-01
6 · The paper itself

Abstract

In traditional livestock care, veterinarians often face situations where they have to determine the optimal time for euthanasia to prevent unnecessary suffering and pain. To improve timely euthanasia, this article focuses on the process of decision-making from a clinical reasoning perspective. The analysis aimed to identify typical steps of reasoning and explore the interdependencies between reported symptoms. For this means, decision-making reports from an online survey and in-depth interviews were assessed by an exploratory, sequential mixed-method content analysis. A key component of the approach involved generating a network analysis in Gephi to visualize the central symptoms associated with reasoning about euthanasia. The results also present a seven-step model of reasoning that can be used to innovate training concepts. Beyond practical applications, the findings have implications for theoretical considerations. Notably, the results suggest that euthanasia is more accurately conceptualized as a "script" rather than a simple "action", highlighting the need for further exploration from the perspective of cognitive psychology.

Indexed as

content analysisnetwork analysisreflectiontimely euthanasia

Identifiers

PMID41150083
PMCPMC12568281

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.