Adenosine A <sub>2A</sub> receptor antagonist istradefylline (KW‐6002) reduces “off” time in Parkinson's disease: A double‐blind, randomized, multicenter clinical trial (6002‐US‐005)
Bibliographic record
Abstract
OBJECTIVE: Based on new understanding of nondopaminergic pathways involved in Parkinson's disease (PD) pathophysiology, a selective adenosine A(2A) receptor antagonist, istradefylline, shows promise for the treatment of PD. METHODS: Istradefylline (40mg/day) was studied in levodopa-treated PD subjects experiencing prominent wearing-off motor fluctuations. At 23 North American sites, 196 subjects were randomized in a double-blind, 12-week outpatient clinical trial of istradefylline (114 completing the trial) or placebo (58 completing the trial). The primary efficacy measure was change from baseline to end point in the percentage of daily awake "off" time, recorded by subjects using a patient PD diary. Secondary end points evaluated "on" time (including "on time with dyskinesia"), the Unified Parkinson's Disease Rating Scale, and a Clinical Global Impression-Improvement of Illness score. Clinical laboratory, electrocardiograms, vital signs, and adverse event monitoring comprised the safety monitoring. RESULTS: After randomization, approximately 88% of subjects completed the double-blind period. Compared with baseline, the decrease of daily awake "off" time for istradefylline was a mean (+/- standard deviation) of -10.8 +/- 16.6% (95% confidence interval, -13.46 to -7.52) and for placebo, -4.0 +/- 15.7% (95% confidence interval, -7.73-0.31; p = 0.007 using two-way analysis of variance). This effect corresponded to changes from baseline in total daily awake "off" time of -1.8 +/- 2.8 hours for istradefylline and -0.6 +/- 2.7 hours for placebo (p = 0.005). Treatment-emergent adverse effects with istradefylline were generally mild. INTERPRETATION: Istradefylline was safe, well tolerated, and offered a clinically meaningful reduction in "off" time without increased troublesome dyskinesia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".