Acceptability, equity, and feasibility of using antipsychotics in children and adolescents with autism spectrum disorder: a systematic review
Bibliographic record
Abstract
BACKGROUND: It is unclear whether the administration of antipsychotics to children and adolescents with autism spectrum disorders (ASD) is acceptable, equitable, and feasible. METHODS: We performed a systematic review to support a multidisciplinary panel in formulating a recommendation on antipsychotics, for the development of the Italian national guidelines for the management of ASD. A comprehensive search strategy was performed to find data related to intervention acceptability, health equity, and implementation feasibility. We used quantitative data from randomized controlled trials to perform a meta-analysis assessing the acceptability and tolerability of antipsychotics, and we estimated the certainty of the effect according to the GRADE approach. We extracted data from systematic reviews, primary studies, and grey literature, and we assessed the risk of bias and methodological quality of the published studies. RESULTS: Antipsychotics were acceptable (dropouts due to any cause: RR 0.61, 95% CI 0.48-0.78, moderate certainty of evidence) and well tolerated (dropouts due to adverse events: RR 0.99, 95% CI 0.55-1.79, low certainty of evidence) by children and adolescents with ASD. Parents and clinicians did not raise significant issues concerning acceptability. We did not find studies reporting evidence of reduced equity for antipsychotics in disadvantaged subgroups of children and adolescents with ASD. Workloads, cost barriers, and inadequate monitoring of metabolic adverse events were indirect evidence of concerns for feasibility. CONCLUSION: Antipsychotics in children and adolescents with ASD were likely acceptable and possibly feasible. We did not find evidence of concern for equity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".