A Double-Blind Crossover, Placebo-Controlled Study of the Adenosine A2A Antagonist Theophylline in Parkinson's Disease
Bibliographic record
Abstract
Blockade of the adenosine A2A receptor potentiates the effects of levodopa in experimental animals and may offer a novel nondopaminergic target for drug therapy in Parkinson's disease (PD). Open-label trials suggest that the nonspecific adenosine antagonist theophylline improves parkinsonian symptoms and increases ON time in advanced patients with PD. In a double-blind, crossover, placebo-controlled trial, the authors investigated the ability of stable plasma levels of theophylline (between 10-20 microg/mL after 15 days of treatment) to modulate the long-duration response and the short-duration response of levodopa in 10 patients with PD. Although theophylline induced a longer duration of the effect of levodopa in all Unified Parkinson's Disease Rating Scale variables considered, including dyskinesias, maximal levodopa-induced improvement and the duration of the effect of levodopa did not differ significantly from placebo. Only the secondary variable "akinesia" showed a statistical tendency to a more prolonged beneficial response with theophylline during an acute levodopa test (short-duration response), and tremor worsened with theophylline during levodopa withdrawal (long-duration response). No differences were observed during the subacute course of study medication added to levodopa. During this exploratory study, the effects of theophylline were not strong enough to potentiate clearly the antiparkinsonian action of levodopa or to increase ON time in patients with advanced PD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| 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".