Risperidone reduces aggression in boys with a disruptive behaviour disorder and below average intelligence quotient: analysis of two placebo-controlled randomized trials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it