Methylphenidate improves fatigue scores in Parkinson disease: A randomized controlled trial
Bibliographic record
Abstract
Fatigue is a common nonmotor symptom in idiopathic Parkinson disease (IPD) that can prominently affect everyday function. This study was a randomized, double-blind, placebo-controlled trial evaluating methylphenidate for the treatment of fatigue in patients with IPD maintained on their regular medications. Thirty-six patients were randomized to receive either methylphenidate (10 mg three times per day; n = 17) or placebo (n = 19) for 6 weeks. Primary outcomes were the change from baseline on two separate self-report fatigue questionnaires: the Fatigue Severity Scale (FSS) and the Multidimensional Fatigue Inventory (MFI). Secondary outcomes included the Unified Parkinson Disease Rating Scale (UPDRS) motor score and the five individual domains of the MFI. Fourteen patients in the methylphenidate group and 16 patients in the control group remained on the intervention for the entire study period. In the treatment arm, mean FSS score was reduced by 6.5 points (from a baseline of 43.8) and mean MFI score was reduced by 8.4 points (from a baseline of 51.0). Both these reductions were significant (P < 0.04). Smaller reductions in the placebo group were nonsignificant. Mean UPDRS motor score did not change significantly in either group. Analysis of MFI subscores showed a significant reduction in General Fatigue in the methylphenidate group (P < 0.001). Overall, adverse effects of medication were more frequent in the placebo group. In conclusion, methylphenidate was effective in lowering fatigue scores in patients with IPD following a 6-week treatment period.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.006 | 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".