Evidence map›Paper›PMID 38384665›Full record

ReviewPersonality neuroscience2024

An animal model of trait anxiety: Carioca high freezing rats as a model of generalized anxiety disorder.

Antonio Pedro Mello Cruz, Vitor Castro-Gomes, J Landeira-Fernandez

Open access · goldAbstract readReview
In one paragraph

Review in Personality neuroscience, 2024. 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
21.2field-weighted citation impact, top 1% 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

1 citing paper in PubMed, 33 citations in OpenAlex.

  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

3 authors at 3 institutions in 1 country.

Antonio Pedro Mello CruzLaboratory of Psychobiology and Behavioral Neuroscience, Institute of Psychology, University of Brasilia, Brasilia, Federal District, Brazil.
Vitor Castro-GomesInstitute of Psychology, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
J Landeira-FernandezDepartment of Psychology, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0002-8395-8008
Pontifícia Universidade Católica do Rio de Janeiro · BRUniversidade de Brasília · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite being one of the main components of anxiety and playing a pivotal role in how an individual perceives and copes with anxiogenic situations or responds to a given treatment, trait anxiety is paradoxically omitted in most animal models of anxiety. This is problematic and particularly more concerning in models that are used to screen drugs and other treatments for specific anxiety disorders and to investigate their neurobiological mechanisms. Our group has been engaged in the search for specific anxiety-related traits in animal models of anxiety. We developed two new lines of rats with strong phenotypic divergence for high (Carioca High-conditioned Freezing [CHF]) and low (Carioca Low-conditioned Freezing [CLF]) trait anxiety as expressed in the contextual fear conditioning paradigm. Here, we summarize key behavioral, pharmacological, physiological, and neurobiological differences in one these lines, the CHF rat line, relative to randomized-cross controls and discuss how far they represent a valid and reliable animal model of generalized anxiety disorder and so high trait anxiety.

Indexed as

Animal model of GADCarioca High-conditioned Freezing ratsGeneralized anxiety disorder (GAD)PhenotypingTrait anxiety

Identifiers

PMID38384665
PMCPMC10877273
OpenAlexW4391890473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.