Chronic Pain And Levodopa Therapy in Parkinson’s Disease Patients
Bibliographic record
Abstract
Background: Pain is a frequent non-motor symptom in patients with Parkinson’s disease (PD) and appears to be related to low levels of dopamine. This study describes the characteristics of chronic pain in a group of PD patients undergoing levodopa therapy. Methods: This was a cross-sectional study. The pain was assessed in 21 selected PD patients with chronic pain using several scales and instruments. Changes in pain response from levodopa use (wearing-off phenomenon) were monitored. Results: The most prevalent type of pain was nociceptive (71.4%), musculoskeletal and dystonic, but neuropathic pain accounted for the highest pain score according to the Parkinson’s Disease Pain Classification System (45.5±30.08). Patients with neuropathic, nociplastic, or nociceptive pain upon wearing-off were those who responded to levodopa (p=0.999). According to the McGill questionnaire, patients with pain upon wearing-off had higher scores in the affective/motivational dimension (p=0.022). Conclusion: Using a new pain classification and scoring tool, this study corroborates a good response to levodopa in PD-related pain.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".