Feasibility and Relevance of Antipsychotic Safety Monitoring in Children With Tourette Syndrome
Bibliographic record
Abstract
PURPOSE/BACKGROUND: Antipsychotics are efficacious for tics and are increasingly prescribed to children with behavioral disorders. Antipsychotics have important adverse effects, and systematic monitoring of drug safety is infrequently performed. The objectives of this study were to determine the feasibility of antipsychotic safety monitoring in children with Tourette Syndrome using a defined protocol and to evaluate the risk of adverse effects with chronic use. METHODS/PROCEDURES: A prospective longitudinal study of children prescribed antipsychotics was performed. Children were monitored for extrapyramidal, metabolic, and hormonal adverse effects using the Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotic Medications guidelines. This included the measurement of height, weight, waist circumference, the Extrapyramidal Symptom Rating Scale, and laboratory tests of lipids, glucose, insulin, and prolactin at prespecified time points. FINDINGS/RESULTS: Fifty-seven children who started on risperidone or aripiprazole were monitored for a mean of 10 months 3 days. Significant increases in body mass index (BMI) and waist circumference percentiles occurred with time. There was a significant time by drug interaction, with children on aripiprazole having smaller changes in BMI initially, followed by a faster rate of increase than with risperidone. There was a significant difference between Extrapyramidal Symptom Rating Scale scores on versus before starting antipsychotics and significant increases in insulin and prolactin. Change from a healthy to overweight or obese BMI percentile occurred in 26%. Extrapyramidal symptoms occurred in 35%. Medication was discontinued because of metabolic effects in 19%, and extrapyramidal symptoms in 7%. IMPLICATIONS/CONCLUSIONS: Monitoring of antipsychotic safety in children is feasible and recommended to inform treatment decisions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".