Bibliographic record
Abstract
BACKGROUND: Drug dosages utilized during controlled clinical trials are not always optimal for patients encountered in day-to-day practice. The original trials of risperidone, a novel antipsychotic, suggested that an initial target dose of 6 mg/day was appropriate, but these trials were necessarily conducted among patients who were chronically impaired, hospitalized, and often partly drug resistant. DATA SOURCES: Relevant data relating to the dosage of risperidone identified through an online (MEDLINE) search using the keywords risperidone, schizophrenia, schizoaffective disorder dementia, bipolar disorder, and dose were supplemented by a review of international and U.S. Congress abstracts in which the dose of risperidone was specifically described. CONCLUSION: On the basis of naturalistic studies, clinical audit, phase 4 trials, positron emission tomography data, and 5 years of clinical experience, the currently recommended target dose of risperidone is 4 mg/day for most patients, with less-rapid titration than previously recommended. Moreover, a lower dose than this and slower titration may be appropriate for elderly patients, young patients, and first-episode patients.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".