Canadian Guidelines for the Pharmacological Treatment of Schizophrenia Spectrum and Other Psychotic Disorders in Children and Youth
Bibliographic record
Abstract
OBJECTIVE: Schizophrenia spectrum and other psychotic disorders often have their onset in adolescence. The sequelae of these illnesses can negatively alter the trajectory of emotional, cognitive, and social development in children and youth if left untreated. Early and appropriate interventions can improve outcomes. This article aims to identify best practices in the pharmacotherapy management of children and youth with schizophrenia spectrum disorders. METHODS: A systematic search was conducted for published guidelines for schizophrenia and schizophrenia spectrum disorders in children and youth (under age 18 years). Recommendations were drawn from the National Institute for Health and Care Excellence guidelines on psychosis and schizophrenia in children and youth (2013 and 2015 updates). Current guidelines were adopted using the ADAPTE process, which includes consensus ratings by a panel of experts. RESULTS: Recommendations identified covered a range of issues in the pharmacotherapy management of children and youth with schizophrenia spectrum disorders. Further work in this area is warranted as we continue to further understand their presentation in the developing brain. CONCLUSIONS: Canadian guidelines for the pharmacotherapy management of children and youth with schizophrenia spectrum disorders are essential to assist clinicians in treating this vulnerable population. Ongoing work in this area is recommended.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".