Clinical review of mania, hostility and suicide-related events in children and adolescents treated with antidepressants
Bibliographic record
Abstract
BACKGROUND: Recent controversy surrounding the use of non-tricyclic antidepressants and the emergence of suicide-related events, hostility/behavioural activation and mania in youth with depression warrants an exploration of the results from randomized controlled trials (RCTs) and published case reports for the emergence of these adverse events. OBJECTIVE: To provide a clinical review of the available evidence from RCTs and case reports regarding the safety of nontricyclic anti-depressants in youth with depression. METHODS: Seven RCTs of antidepressant use in youth with depression, four case reports of suicide-related adverse events, three case reports of hostility/behavioural activation, and 12 case reports of precipitation of mania were reviewed. RESULTS: The majority of patients with suicide-related adverse events from both RCTs and published case reports were suicidal before the start of antidepressant treatment. Hostility/behavioural activation generally developed within days to weeks after the start of antidepressant treatment; in the majority of cases, symptoms resolved within four weeks of dosage lowering or discontinuation of the medication alone. Rates for precipitation of mania from RCTs ranged from 0% to 6%. In approximately 60% of published case reports, manic symptoms resolved with the discontinuation or lowering of the dosage of medication alone. CONCLUSIONS: Several trends were observed in the association between adverse events and the use of nontricyclic antidepressants in youth. When prescribing antidepressants to youth, clinicians should closely monitor patients and fully inform them and their families of the risks and benefits of treatment with antidepressants.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".