The Effect of Rotigotine on Cognitive Function, Daytime Sleepiness, and Sleep Problems in Parkinson Disease: An Open-Label Pilot Study
Bibliographic record
Abstract
BACKGROUND: We hypothesized that rotigotine may have a positive effect on cognitive function in patients with Parkinson disease (PD) by improving daytime motor function and sleep status. METHODS: Fifteen PD patients with sleep disturbances, defined as a PD Sleep Scale (PDSS)-2 score of 15 or greater, were included in this single-center, 3-month open-label study. Participants received 2 to 4 mg/24 h (patch content: 4.5-9 mg) rotigotine for a 3-month period. At baseline and 3 months, the patients were evaluated on the Movement Disorder Society Revision of the Unified PD Rating Scale (MDS-UPDRS) parts III and IV and cognitive assessments, such as the Mini-Mental State Examination, frontal assessment battery, and Montreal Cognitive Assessment (MoCA). The Epworth Sleepiness Scale (ESS) and PDSS-2 were administered at baseline and at 1, 2, and 3 months. RESULTS: At 3 months, the MDS-UPDRS part III (-11.1, P < 0.0001) and MDS-UPDRS part IV (-1.1, P = 0.0013) scores significantly decreased, and off time significantly decreased (-34.6 minutes, P = 0.0085) from baseline. The PDSS-2 scores significantly decreased from baseline at 1 month (-4.2, P < 0.01), 2 months (-7.7, P < 0.0001), and 3 months (-7.3, P < 0.0001). The ESS also decreased at 1 month (-2.5, P < 0.05) and 3 months from baseline (-4.5, P < 0.01). The MoCA scores (1.6, P = 0.0029) significantly improved, but the Mini-Mental State Examination or frontal assessment battery scores did not significantly change. The mean changes from baseline to 3 months in the MoCA were negatively correlated with mean changes in the ESS scores. CONCLUSIONS: We suggest that rotigotine could improve cognitive function by improving motor symptoms, sleep disturbance, and daytime sleepiness in patients with PD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".