Clozapine for Management of Childhood and Adolescent-Onset Schizophrenia: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: Schizophrenia at a young age deserves investigation because of the greater severity and burden of illness on individuals and health care than its adult onset. For this study, we included both childhood-onset schizophrenia and early-onset schizophrenia. We used the common term “childhood and adolescent-onset schizophrenia (CAOS)” for either type. This systematic review provides an overview of the clinical use, efficacy, and safety of clozapine treatment in managing CAOS. Methods: We conducted a systematic literature search in PubMed, Embase, and PsycINFO databases. We searched for randomized controlled trials (RCTs), open-label studies (OLSs), review articles, meta-analytic and observational studies. Our literature search resulted in 1242 search results. After the title, abstract, and full article review, 18 studies qualified (double-blind RCTs n = 4; OLS n = 4; observational studies n = 7; case reports n = 3). Results: Clozapine use in CAOS was generally well tolerated and not associated with any fatalities. Clozapine use in the short term (6 weeks) and long term (2–9 years) was superior in efficacy than other antipsychotics in CAOS management. Improvement in overall symptoms was maintained during long-term follow-up over the years in OLSs. Clozapine appeared to have a favorable clinical response and shorter hospital stays. Sedation and hypersalivation were commonly reported (90%), constipation was next in frequency (13%–50%). Neutropenia was seen in 6%–15% of cases and agranulocytosis (<0.1%). Although weight gain was common (up to 64%), followed by metabolic changes (8%–22%), treatment-onset diabetes was less frequent (<6%). Akathisia, tachycardia, and blood pressure changes were less commonly seen. Conclusions: Limited studies indicate that clozapine is a safe and efficacious option for CAOS management. We need large-scale and well-designed long-term RCTs for the use of clozapine in the management of CAOS.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.030 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".