Antidepressant use in children and adolescents: Practice touch points to guide paediatricians
Bibliographic record
Abstract
Depression in children and youth is common, and requires an understanding of its developmental character and associated comorbid conditions. Initial treatment of mild depression involves active supportive measures with a focus on symptom reduction and improved daily function. Where pharmacotherapy is warranted, evidence supports the use of selective serotonin reuptake inhibitor (SSRI) antidepressants, particularly fluoxetine, to manage moderate/severe depression. SSRI treatment should include a comprehensive management plan in the context of interdisciplinary care, an understanding of its pharmacology and clearly articulated goals for symptom reduction, functional status tracking (school, home and peers) and monitoring for the emergence of suicidal ideation/behaviour. For children with more severe symptoms or complicating factors (comorbid conditions), referral to mental health clinicians should be considered. Use of an SSRI should be associated with family/patient education about medication effects, specific social and health goals that promote self-esteem, improved function and close monitoring for adverse effects.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".