Quetiapine for Insomnia in Parkinson Disease
Bibliographic record
Abstract
Quetiapine is an atypical antipsychotic with sedative properties frequently used to treat hallucinations and psychosis in Parkinson disease (PD). The objective of this trial is to evaluate quetiapine for insomnia in nonpsychotic PD patients. Fourteen consecutive PD patients with frequent insomnia and without psychotic symptoms were treated openly for 12 weeks with a single evening dose of quetiapine. The dose was adjusted according to clinical improvement and tolerance. The severity of insomnia was assessed using the Pittsburgh Sleep Quality Index (PSQI), daytime sleepiness was evaluated with the Epworth Sleep Scale (ESS), and motor performance was evaluated using the motor section of the Unified Parkinson's Disease Rating Scale (UPDRS). All evaluations were done before and 1, 2, and 3 months after initiation of treatment. Total PSQI basal scores were 13.6 +/- 3.7 points. The PSQI score improved in 11 patients and was reduced by 3.8 +/- 3.9 points by the end of the study (P < 0.01). The ESS score was reduced by 4.3 +/- 3.7 points (P < 0.01). The mean quetiapine dose was 31.9 mg/day. No significant change was observed in the motor scale. Two patients were discontinued due to nonserious adverse effects. These results suggest that quetiapine may be a safe and effective treatment of insomnia in PD patients. Double-blind studies will probably confirm these findings.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".