Treatment of Excessive Daytime Sleepiness in Patients With Parkinson's Disease With Modafinil
Bibliographic record
Abstract
Excessive daytime sleepiness (EDS) may limit the symptomatic treatment of Parkinson's disease and can alter the patient's lifestyle significantly. Ten consecutive patients with Parkinson's disease on various dopaminergic drugs and EDS were recruited to a 4-week open-label trial of modafinil. Patients were evaluated using the Epworth Sleepiness Scale and Unified Parkinson's Disease Rating Scale part III. All but three patients, with previous history of intolerability of a dopamine agonist caused by EDS, remained on their baseline medications. Modafinil was titrated as needed to a maximum of 400 mg/day. The mean Epworth Sleepiness Scale score at baseline of patients completing the study (n = 9) was 14.22 (+/- 3.03). After completing the study on an average dose of 172 mg/day, the Epworth Sleepiness Scale score was 6.0 (+/- 4.87). Unified Parkinson's Disease Rating Scale scores were not affected by this medication. Side effects encountered were headache, generalized paresthesias, and hallucinations (n = 1 each, the patient developing hallucinations dropped out of the trial before completing 4 weeks of the study drug). The three patients who did not tolerate any increments of dopamine agonist before modafinil were able to tolerate further upward titration of the dopamine agonist. Modafinil may be effective in reducing EDS in patients with Parkinson's disease treated with dopaminergic drugs. It does not seem to worsen parkinsonian symptoms and may allow further increase in dopaminergic therapy in patients previously unable to tolerate this because of EDS.
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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 | 0.001 | 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 | 0.000 |
| 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".