CLINICAL PERSPECTIVES. CLINICAL ROUNDS IN CHILD AND ADOLESCENT MENTAL HEALTH First Manic Episode in an 11 Year-old Girl
Bibliographic record
Abstract
Tran et al Objective: We present the case of an 11 year-old girl admitted to the Centre hospitalier universitaire de Sherbrooke for a first manic episode. Method: Differential diagnoses of adjustment disorder, attention-deficit/hyperactivity disorder, oppositional defiant disorder, and conduct disorder were considered but eliminated. Results: No organic etiology was detected. Her condition rapidly remitted with aripiprazole 3mg. After her discharge, she suffered a relapse due to instability of her living conditions and was rehospitalized. Conclusion: Mania is a difficult diagnosis in youths due to its nonspecific symptoms, rare prepubertal occurrence, and diagnostic complexity. Despite ongoing research, there is little conclusive information on the impact of psychosocial stressors on the evolution of early-onset bipolar disorder. Key Words: first manic episode, juvenile mania, early-onset bipolar disorder █ Résumé Objectif: Nous présentons le cas d’une fillette de 11 ans hospitalisée au Centre hospitalier universitaire de Sherbrooke pour un premier épisode de manie. Méthode: Les diagnostics différentiels du trouble d’adaptation, du trouble de déficit de l’attention avec hyperactivité, du trouble oppositionnel avec provocation et du trouble des conduites ont été envisagés mais rejetés. Résultats: Aucune étiologie organique n’a été détectée. La rémission de son affection a été rapide avec 3
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".