Novel uses for risperidone: focus on depressive, anxiety and behavioral disorders
Bibliographic record
Abstract
Risperidone has been shown to be a safe and effective atypical antipsychotic agent. It was initially approved for the treatment of schizophrenia, and now, in many countries, is used to treat other conditions, including bipolar disorder, dementia and behavior problems in a range of age groups. Yet, frequent off-label use by clinicians to treat other mood and anxiety disorders and behavioral disorders is common and requires an examination of the risks and benefits in such populations. A review of the literature provides varying levels of evidence supporting its use in a range of depressive and anxiety disorders, and in special populations, including children and the elderly. Most reports are based on short-term studies and include its use both as monotherapy and as an augmenting agent to other psychotropics, and in a range of doses. Further randomized controlled trials are needed to confirm the efficacy and tolerability of risperidone, both short- and long-term, in many of these conditions. The published evidence is summarized, with recommendations and suggestions for its use.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".