Evidence map›Paper›PMID 41854761›Full record

ArticleEuropean child & adolescent psychiatry2026

Identifying prospective temperament predictors of callous-unemotional traits using machine learning.

Alexis Broussard, Sarah C Vogel, Patrick K Goh, Emily R Perkins, Yael Paz, Nicole Huth, Anthony J Rosellini, William R Mills-Koonce, Michael T Willoughby, Rebecca Waller and 1 more

Abstract read
In one paragraph

Article in European child & adolescent psychiatry, 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

11 authors.

Alexis BroussardDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, US.
Sarah C VogelDepartment of Psychology, University of Massachusetts, Boston, Massachusetts, US.
Patrick K GohDepartment of Psychology, University of Hawai'i at Mānoa, Honolulu, Hawaii, US.
Emily R PerkinsDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, US.
Yael PazDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, US.
Nicole HuthDepartment of Brain and Psychological Science, Boston University, Boston, Massachusetts, US.
Anthony J RoselliniDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, US.
William R Mills-KoonceDevelopment and Family Studies, University of North Carolina, Greensboro, North Carolina, US.
Michael T WilloughbyResearch Triangle Institute (RTI International), Research Triangle Park, North Carolina, US.
Rebecca WallerDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, US. rwaller@sas.upenn.edu.
Nicholas J WagnerDepartment of Brain and Psychological Science, Boston University, Boston, Massachusetts, US. njwagner@bu.edu.

Funding

Risky Parenting and Temperament Pathways To Callous-Unemotional Traits In Early ChildhoodR01MH125904 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Nicholas J Wagner, Rebecca Waller · 2022 to 2026
$3.9M
Leveraging Machine Learning Techniques to Elucidate Risk for Callous-Unemotional TraitsR21MH126162 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WAGNER, NICHOLAS J, WALLER, REBECCA · 2022 to 2023
$450k
Israel Science Foundation 92/22National Science Foundation Graduate Research Fellowship Program DGE-2236662NIMH NIH HHS R01 MH125904NIMH NIH HHS R21 MH126162
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AffiliationCallous-unemotional traitsConduct disorderFearMachine learning

Identifiers

PMID41854761
PMCPMC13378790

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.