Evidence map›Paper›PMID 34773521›Full record

ArticleResearch on child and adolescent psychopathology2022

Dimensional Latent Structure of Callous-Unemotional Traits in German Adolescents: Results from Taxometric Analyses.

Sören Kliem, Yvonne Krieg, Thimna Klatt, Dirk Baier

Open access · hybridAbstract read
In one paragraph

Article in Research on child and adolescent psychopathology, 2022. 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
0.9field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Article
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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 4 institutions in 2 countries.

Sören KliemErnst-Abbe-Hochschule Jena - University of Applied Sciences, Carl-Zeiss-Promenade 2, 07745, Jena, Germany. Soeren.kliem@eah-jena.de.ORCID 0000-0003-1788-9574
Yvonne KriegCriminological Research Institute of Lower Saxony, Hannover, Germany.
Thimna KlattUniversity of Applied Sciences for Police and Public Administration in North Rhine-Westphalia, Hagen, Germany.
Dirk BaierZurich University of Applied Sciences, Zürich, Switzerland.
Carl Zeiss (Germany) · DECriminological Research Institute of Lower Saxony · DEHochschule für Polizei und Öffentliche Verwaltung Nordrhein-Westfalen · DEZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large amount of research has addressed the issue of the latent status of psychiatric disorders and related phenomena. We used a new taxometric approach developed by Ruscio to examine the latent status of callous-unemotional (CU) traits in a large representative study of German ninth graders (N = 3,878). Rather than estimating a putative taxon base rate and using that estimate to generate the taxon comparative data, we estimated CCFI profiles with each base rate estimate between 2.5% and 97.5% in increments of 2.5%. Results of different indicator sets clearly suggested a dimensional solution. This finding is consistent with different studies showing the dimensionality of psychopathy in adolescents. In summary, the results of this study point to the need for critical reflection in defining a high-risk-group in the context of CU traits. However, further studies are necessary to substantiate this result in different samples using different measurement approaches.

Indexed as

Conduct DisorderAdolescentAntisocial Personality DisorderEmotionsHumansAssessmentCallous Unemotional Traits (CU traits)Latent StructurePsychopathyTaxometrics

Identifiers

PMID34773521
PMCPMC9130161
OpenAlexW3212767736

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.