Effect of Riluzole on Dyskinesia and Duration of the ON State in Parkinson Disease Patients
Bibliographic record
Abstract
The objective of this study was to evaluate the effect of riluzole on dyskinesia and the duration of the ON state in patients with Parkinson disease (PD). The authors studied 16 PD patients with levodopa-induced dyskinesia. All patients initially received an apomorphine dose intended to induce the motor function benefit (ON state) generally accompanied by dyskinesia. They evaluated the patients during the OFF and ON states using the UPDRS-III, UPDRS-IV, and Larsen scales, and measured the duration of the ON state. Patients were randomly assigned to receive either riluzole (50 mg bid) or placebo for 7 consecutive days (8 patients in each group). The authors did not interrupt previously prescribed medication. Following the 7-day period, they carried out similar evaluation procedures before and after another apomorphine challenge. Mean UPDRS-IV scores were 6.1 points and 6.0 points before and after riluzole therapy respectively. For the placebo group, the scores were 6.9 points and 6.6 points for the initial and final evaluations respectively. Larsen scale had mean scores of 9.2 points and 9.9 points for the pre- and postriluzole periods, and 10.2 points and 9.6 points for pre- and post-placebo evaluations respectively. The ON state was 33.5% lengthier after 7 days of riluzole and 28.0% lengthier after placebo. They could not find any statistical differences between the 2 groups. Short-term riluzole administration in PD patients was not able to reduce apomorphine-induced dyskinesia but could extend the ON state duration, although this did not reach statistical significance.
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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 | 0.000 |
| 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".