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Record W4414181906 · doi:10.1192/j.eurpsy.2025.155

The interplay between ADHD comorbid bipolar disorder and suicide behavior

2025· article· en· W4414181906 on OpenAlexaff
Radwa Khalil

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsHôtel-Dieu de QuébecHotel Dieu Hospital
FundersNational Institute for Health and Care Research
KeywordsBipolar disorderComorbidityContext (archaeology)Vulnerability (computing)Intervention (counseling)MoodPresentation (obstetrics)Mood disorders

Abstract

fetched live from OpenAlex

Abstract This presentation examines the complex relationship between Attention-Deficit/Hyperactivity Disorder (ADHD) and bipolar disorder in the context of suicide risk. A comprehensive literature review will first explore existing studies on the interplay between ADHD, bipolar disorder, and suicidal behavior in youth. In addition, a retrospective analysis of clinical data extracted from a large database at Hôtel-Dieu de France Hospital in Beirut will be presented. The ongoing study includes approximately 700 patient files and aims to evaluate the suicide risk over the past three years, specifically assessing the role of ADHD vulnerability and a history of hospitalization for mood disorders. The analysis will explore whether the increased suicide risk in individuals with ADHD is primarily attributed to comorbidity with bipolar disorder or inherent aspects of ADHD itself. The presentation will provide insights into the underlying pathophysiology, offering a deeper understanding of these critical associations, and will discuss implications for clinical risk assessment and intervention strategies. Disclosure of Interest None Declared

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)0.000
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.350
Teacher spread0.327 · 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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