Risperidone reduces aggression in boys with a disruptive behaviour disorder and below average intelligence quotient: analysis of two placebo-controlled randomized trials
Bibliographic record
Abstract
The present study aimed to analyse the effect of risperidone on a priori defined core aggression items. Data were pooled from 163 boys (aged 5-12 years, with or without comorbid attention-deficit/hyperactivity disorder) with a DSM-IV diagnosis of either conduct disorder or oppositional defiant disorder who had participated in either of two identical, 6-week, randomized, double-blind, placebo-controlled trials. All received treatment with either placebo or oral risperidone solution (0.01-0.06 mg/kg/day). Subjects had below average intelligence [intelligence quotient (IQ) 36-84] and a score of > or =24 on the Conduct Problem subscale of the Nisonger Child Behaviour Rating Form (N-CBRF). An expert advisory panel selected six core aggression items from the N-CBRF, from which a total Aggression Score (AS, range 0-18) was constructed. Compared to those treated with placebo, risperidone-treated subjects experienced significantly greater mean decreases from baseline in the AS at each of weeks 1-6 (P<0.001). By study endpoint, aggression among risperidone-treated subjects had declined by 56.4% (mean baseline AS 10.1; mean endpoint AS 4.4), which was more than twice that of placebo-treated subjects (mean baseline AS 10.6; mean endpoint AS 8.3; 21.7% reduction). Risperidone was efficacious in reducing symptoms of aggression in boys of below average IQ with disruptive behaviour disorders.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".