Is Dopamine Agonist Therapy Associated with Developing Pathological Gambling in Parkinson’s Disease Patients?
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
In recent years, improving the quality of life and the level of functioning in Parkinson's disease patients has become the main challenge of all therapeutic protocols for this chronic disease. Hence, identifying comorbid psychiatric conditions is the ambition of many studies in the field. To date, a few research studies have investigated the development of problem gambling as a potential side effect of dopamine agonist medications. However, there are still controversies among experts in the field. Thus far, published reports have been able to neither demonstrate the extent of risk for gambling-related problems nor study the correlation of dosage with this potential adverse effect among Parkinson's disease patients treated with dopaminergic medications. In fact, prospective epidemiologic studies are needed to technically estimate the incidence rate and the relative risk of pathological gambling among patients with Parkinson's disease and to determine the correlation between dosage of these medications and the development of pathological gambling.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it