Evidence map›Paper›PMID 42839936›Full record

ArticleFrontiers in psychology2026

Development of a psychobiological nosology for fear and frustration in clinical animal behavior using dogs as a model species.

Beverley M Wilson, Carl D Soulsbury, Daniel S Mills

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

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

3 authors.

Beverley M WilsonSchool of Natural Sciences, University of Lincoln, Lincoln, United Kingdom.
Carl D SoulsburySchool of Natural Sciences, University of Lincoln, Lincoln, United Kingdom.
Daniel S MillsSchool of Natural Sciences, University of Lincoln, Lincoln, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing emotion is an integral part of the diagnostic process in clinical animal behavior and facilitates more specific management for the related behavior. Fear and frustration are commonly involved in such issues, and clinical animal behaviorists appear to find these emotions challenging to identify and differentiate, with a range of views on the nature of these emotions. This problem is compounded by a lack of consensus definitions for these terms, authors frequently relying on intuitive understanding, and the variability in definitions used, when they are actually defined, within the clinical animal behavior literature. We therefore sought to critically appraise existing clinical animal behavior literature on fear and frustration, before proposing a more formal functional psychological and biological (psychobiological) framework, which was inspired by work describing the evolved function of disgust. Our proposed definitions for fear and frustration structure and unite existing theories across the biological and psychological sciences with prominent research in the clinical animal behavior field, to provide a consistent frame of reference (nosology) for future research and clinical practice. We have used dogs as a model species to highlight how existing clinical literature can be usefully aligned into evolutionary-relevant themes relating to ecological context and key cognitive capacities. The outcome has the potential to not only be practically useful, in helping to standardize the dialogue relating to these emotional states, but also the methodology used could be more widely applicable to help improve future scientific research on affect.

Indexed as

affectclinical animal behaviordogsfearfrustration

Identifiers

PMID42839936
PMCPMC13638404

What Socratic holds

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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.