Evidence map›Paper›PMID 40519960›Full record

ArticleJCPP advances2025

Assessing a prediction model for depression risk using an early adolescent sample with self-reported depression.

Eileen Y Xu, Niamh MacSweeney, Gladi Thng, Miruna C Barbu, Xueyi Shen, Alex S F Kwong, Liana Romaniuk, Andrew McIntosh, Stephen M Lawrie, Heather C Whalley

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

10 authors.

Eileen Y XuDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.ORCID https://orcid.org/0009-0003-5044-1437
Niamh MacSweeneyDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Gladi ThngDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Miruna C BarbuDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Xueyi ShenDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Alex S F KwongDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Liana RomaniukDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Andrew McIntoshDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Stephen M LawrieDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.
Heather C WhalleyDivision of Psychiatry University of Edinburgh Royal Edinburgh Hospital Edinburgh UK.ORCID https://orcid.org/0000-0002-4505-8869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) in adolescence is a risk factor for poor physical and psychiatric outcomes in adulthood, with earlier age of onset associated with poorer outcomes. Identifying Depression Early in Adolescence Risk Score (IDEA-RS) is a model for predicting MDD in youth aged >15 years, but replication in younger samples (<15 years) is lacking. Here, we tested IDEA-RS in a younger sample (9-11 years) to assess whether IDEA-RS could be applied to earlier onset depression. Methods: We applied IDEA-RS predictor weights to 9854 adolescents (9-11 years) from the Adolescent Brain Cognitive Development (ABCD) Study, United States. We derived incident depression outcomes from self-reported data at 2-year follow-up (11-13 years): incident MDD and increase in depression symptoms (DS). Sensitivity analyses were conducted using parent-reported data. We assessed accuracy and calibration in predicting self-reported incident depression and compared this to a refitted model with predictor weights derived in ABCD. Lastly, we tested associations between IDEA-RS predictors and self-reported incident depression. Results: External replication yielded better-than-chance discriminative capacity for self-reported incident depression (MDD: AUC = 61.4%, 95% CI = 53.5%-69.4%; DS: AUC = 57.9%, 95% CI = 54.6%-61.3%) but showed poor calibration with overly extreme risk estimates. Re-estimating predictor weights improved discriminative capacity (MDD: AUC = 75.9%, 95% CI = 70.3%-81.4%; DS: AUC = 64.8%, 95% CI = 61.9%-67.7%) and calibration. IDEA-RS predictors 'poorest level of relationship with the primary caregiver' (OR = 4.25, 95% CI = 1.73-10.41) and 'high/highest levels of family conflict' (OR = 3.36 [95% CI = 1.34-8.43] and OR = 3.76 [95% CI = 1.50-9.38], respectively) showed greatest associations with self-reported incident MDD. Conclusions: While IDEA-RS yields better-than-chance predictions on external replication, accuracy is improved when differences between samples, such as case-control mix, are adjusted for. IDEA-RS may be more suited to research settings with sufficient data for refitting. Altogether, we find that IDEA-RS can be generalisable to early adolescents after refitting and that family dysfunction may be especially impactful for this period of development.

Indexed as

adolescenceadolescent depressionmajor depressive disorderprediction modelreplicationrisk factorsrisk prediction

Identifiers

PMID40519960
PMCPMC12159326

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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.