The scientific and clinical basis for the treatment of Parkinson disease (2009)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Parkinson disease (PD) is an age-related neurodegenerative disorder that affects as many as 1-2% of persons aged 60 years and older. With the aging of the population, the frequency of PD is expected to increase dramatically in the coming decades. Current therapy is largely based on a dopamine replacement strategy, primarily using the dopamine precursor levodopa. However, chronic treatment is associated with the development of motor complications, and the disease is inexorably progressive. Further, advancing disease is associated with the emergence of features such as freezing, falling, and dementia which are not adequately controlled with dopaminergic therapies. Indeed, it is now appreciated that these nondopaminergic features are common and the major source of disability for patients with advanced disease. Many different therapeutic agents and treatment strategies have been evaluated over the past several years to try and address these unmet medical needs, and many promising approaches are currently being tested in the laboratory and in the clinic. As a result, there are now many new therapies and strategic approaches available for the treatment of the different stages of PD, with which the treating physician must be familiar in order to provide patients with optimal care. This monograph provides an overview of the management of PD patients, with an emphasis on pathophysiology, and the results of recent clinical trials. It is intended to provide physicians with an understanding of the different treatment options that are available for managing the different stages of the disease and the scientific rationale of the different approaches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it