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Record W4415295241 · doi:10.1038/s41380-025-03307-3

Mental health trajectories of adolescents treated with psychotropic medications: insights from the european milestone study

2025· article· en· W4415295241 on OpenAlexfundno aff
Marta Magno, Donato Martella, Silvia Leone, Giovanni Allibrio, Angelo Bertani, Elisa Caselani, Patrizia Conti, Samuele Cortese, Gwen Dieleman, Tomislav Franić, Suzanne Gerritsen, Deborah Maffezzoni, Francesco Margari, Ottaviano Martinelli, Fiona McNicholas, Rocco Micciolo, Renata Nacinovich, Diane Purper‐Ouakil, Adriana Pastore, Francesco Mazzeo Rinaldi, Paramala Santosh, Paolo Scocco, Ulrike Schulze, Swaran P. Singh, Antonella Squarcia, Paolo Stagi, Cathy Street, Elena Toffol, Helena Tuomainen, Larissa S van Bodegom, Stefano Vicari, Giovanni de Girolamo, Jason Madan, Moli Paul, M.M.M. Overbeek, Nikolina Davidović, Virginie Maurice, Frédérick Russet, Anne Sartor, Rebecca Appleton, Federico Fiori, Gaëlle Hendrickx, Laura Iozzino, Kate Lievesley, Mathilde Mastroianni, Aesa Parenti, Melanie C. Saam, Giulia Signorini, Jatinder Singh, Priya Tah, Helena Jerkovic

Bibliographic record

VenueMolecular Psychiatry · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
FundersDipartimento di Medicina e Chirurgia, Università degli Studi di Milano-BicoccaUniversità degli Studi di TrentoWarwick Medical SchoolUniversity College DublinErasmus Medisch CentrumInstitut National de la Santé et de la Recherche MédicaleSolent NHS TrustKing's College LondonUniversità degli Studi di Milano-BicoccaUniversity of SouthamptonUniversität UlmYork UniversityUniversity of WarwickOspedale Pediatrico Bambino GesùEuropean Commission
KeywordsMilestonePsychopathologyMental healthQuality of life (healthcare)Rating scaleMental illnessPharmacotherapyPoison controlChild and adolescent psychiatry

Abstract

fetched live from OpenAlex

The transition from Child and Adolescent (CAMHS) to Adult Mental Health Services (AMHS) can be challenging. Drawing on the sample of the European MILESTONE project, we explored changes in clinical profiles and treatment outcomes in adolescents transitioning to AMHS over two years, focusing on different pharmacological treatment patterns. The sample (N = 690; mean age: 17.7 years; SD = 0.29) was categorised into three groups based on medication patterns: continuous (Group 1), intermittent (Group 2), and never medicated (Group 3). Participants underwent four evaluations over two years using tools measuring psychopathology and functioning, including the Health of the Nation Outcome Scale for Child and Adolescents (HoNOSCA) and ASEBA Battery. We employed repeated-measures models to analyse clinical rating changes and a two-way mixed ANOVA to assess interaction between time and groups. Group 3 had significantly lower mean HoNOSCA ratings than Groups 1 and 2 (p < 0.001), indicating better mental health. By the last time point (T4), the factors associated with a reduced risk of severe illness included an improvement in the risk of suicide attempts (p = 0.038), enhanced everyday functional skills (p = 0.008), higher quality of life (p = 0.001), and being male (p = 0.020). The ASEBA Battery showed Group 1 had more internalising symptoms, while Group 2 had more externalising symptoms than Group 3. During the transition from CAMHS to AMHS, continuous medication was associated with higher symptom severity than intermittent or no pharmacological treatment. This may reflect either a more severe initial symptomatology requiring sustained pharmacotherapy or a medication-related paradox, whereby symptoms persist or intensify owing to treatment resistance or side effects. TRIAL REGISTRATION: "MILESTONE study" registration: ISRCTN ISRCTN83240263 Registered 23 July 2015; ClinicalTrials.gov NCT03013595 Registered 6 January 2017.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.363
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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