Cross-Sectional Design: Link Between Parkinson’s Pain and Restless Leg Syndrome
Bibliographic record
Abstract
OBJECTIVE: Prior research suggests that restless leg syndrome (RLS) is prevalent in Parkinson's disease (PD) with insufficient evidence to support the relationship between RLS, PD, and pain. This study explored the relationship between pain in PD patients and its association with the prevalence and severity of RLS. METHOD: 127 PD patients were assessed for PD and RLS using the U.K. Brain bank Criteria and the Restless Leg Syndrome diagnostic criteria, respectively. These patients were also assessed for pain perception and interference using the Brief Pain Inventory. RESULTS: < 0.05) compared to the group of Parkinson's disease patients denying pain. DISCUSSION: The presence of pain in PD patients indicated a higher RLS prevalence and an increased RLS severity. This finding suggests patients suffering from pain interference may experience more severe RLS symptoms. This demonstrates an inextricable link and association between pain in PD patients and RLS. Further robust investigations are required to elucidate any potential causative links, which can inform more holistic treatment principles.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".