Efficacy and safety of safinamide as an add-on therapy to L-DOPA for patients with Parkinson's disease: A randomized, double-blind, placebo-controlled, phase II/III study
Bibliographic record
Abstract
INTRODUCTION: Safinamide is a reversible and selective monoamine oxidase-B (MAO-B) and sodium channel inhibitor with demonstrated efficacy in mid-to late-stage Parkinson's disease (PD) as an adjunct to l-DOPA. This study aimed to confirm the efficacy and safety of safinamide in PD patients with wearing-off. METHODS: This 24-week, multicenter, randomized, double-blind, placebo-controlled, parallel-group study included Japanese PD patients with wearing-off on l-DOPA treatment. Patients were randomized to receive placebo (P), safinamide 50 mg/day (S50), or safinamide 100 mg/day (S100). The primary endpoint was the change from baseline in mean daily ON-time without troublesome dyskinesias (ON-time). Other measures included the changes in mean daily OFF-time, the unified Parkinson's disease rating scale (UPDRS) score, and the PDQ-39 summary index. RESULTS: A total of 406 subjects were randomized, of whom 349 completed the study. Baseline characteristics were balanced. Differences in the change of mean daily ON-time at Week 24 compared with the P group were 1.39 h (p = 0.0002) in the S50 group and 1.66 h (p < 0.0001) in the S100 group. Changes from baseline in mean daily OFF-time, UPDRS Part II total score (OFF phase), UPDRS Part III total score (ON phase), and UPDRS Part I also showed significant improvements. Adverse events occurred in 58.9%, 60.2%, and 61.4% of the P, S50, and S100 groups, respectively. The most common adverse drug reactions were dyskinesias (2.1%, 8.3%, and 10.6%) and visual hallucinations (1.4%, 3.0%, and 4.5%). CONCLUSION: As an adjunct to l-DOPA, safinamide safely increased ON-time and improved PD symptoms/signs in PD patients with wearing-off.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".