Evidence map›Paper›PMID 40979734›Full record

ArticleJCPP advances2025

Validation of CBCL depression scores of adolescents in three independent datasets.

Marie Zelenina, Daniel S Pine, Argyris Stringaris, Dylan M Nielson

Abstract read
In one paragraph

Article in JCPP advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The topology of adolescent mental health.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. JCPP advances · 2025
    Article
  6. 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.

Marie ZeleninaSection on Development and Affective Neuroscience NIMH NIH Bethesda MD USA.ORCID https://orcid.org/0000-0002-7403-5383
Daniel S PineSection on Development and Affective Neuroscience NIMH NIH Bethesda MD USA.
Argyris StringarisDivision of Psychiatry University College London London UK.
Dylan M NielsonMachine Learning Team NIMH NIH 10 Center Dr Bethesda MD USA.ORCID https://orcid.org/0000-0003-4613-6643

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
fMRI Studies Of Pediatric Mood And Anxiety DisordersZIAMH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$41.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
Intramural NIH HHS Z01 MH002781Intramural NIH HHS ZIA MH002781Intramural NIH HHS ZIA MH002957Intramural NIH HHS ZIC MH002968NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itself

Abstract

Background: Depression is common, burdensome, and is frequently first diagnosed in adolescents. The popular Adolescent Brain Cognitive Development dataset (ABCD) provides an attractive opportunity to research depression in adolescents. The only continuous measure of depression, as defined by DSM-5, in ABCD is the Child Behavior Checklist's DSM-5-Oriented Affective Problems scale (CBCL-Aff). We validated CBCL-Aff in the ABCD data and confirmed our results on two independent datasets: the Healthy Brain Network (HBN) and the Brazilian High Risk Cohort Study (BHRC). Methods: We tested Sensitivity, Specificity and Strict Specificity. Our participants were aged 8-11 years (ABCD) or 8-12 years (HBN, BHRC). Sample size was 183-1189 participants, depending on the analysis. Sample sizes and positive case ratios were established from power estimations. We evaluated goodness of prediction with AUCROCs. Results: In ABCD with parent-report diagnoses, CBCL-Aff had the AUCROC value of 0.95 in the Sensitivity and 0.87 in the Specificity analysis. In ABCD with child-report diagnoses, CBCL-Aff had the AUCROC of 0.62 (Sensitivity), 0.48 (Specificity) and 0.46 (Strict Specificity). In HBN and BHRC, CBCL-Aff successfully predicted clinician-report diagnoses (HBN Sensitivity: AUCROC = 0.86, Specificity: AUCROC = 0.71; BHRC Sensitivity: AUCROC = 0.90, Specificity: AUCROC = 0.80, Strict Specificity: AUCROC = 0.78). Conclusions: We validated CBCL-Aff as a measure of depression in adolescents aged 8-11 years and we recommend its use with the following limitation: as parents and children disagreed on the child's symptoms, we discuss implications of using a parent-report only measure of child depression.

Indexed as

adolescent brain cognitive developmentCBCLdepressioninformant discrepancymeasure validation

Identifiers

PMID40979734
PMCPMC12446721

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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.