[The clinical characteristics and cognitive function of Parkinson's disease patients associated with pain].
Bibliographic record
Abstract
OBJECTIVE: To explore the type and etiology of chronic pain in patients with Parkinson's disease (PD), and to assess the association between pain and cognitive function. METHODS: A total of 116 PD patients were enrolled in the study and assessed with the following rating scales: Unified Parkinson's Disease Rating Scale (UPDRS), Hoehn-Yahr Scale (H-Y), Hamilton Depression Rating Scale for Depression(HRSD), Visual Analogue Scale (VAS) and Montreal Cognitive Assessment (MoCA). RESULTS: Compared with PD patients without pain, PD patients with pain had higher scores of UPDRS, H-Y and HRSD rating scales. Depression (scores of HRSD) was the only factor associated with pain showed by the Logistic regression model (P = 0.007). PD patients with pain had lower scores of delayed recall (P = 0.020). PD patients with pain happened before their motor symptoms had a lower score of delayed recall (P = 0.015). CONCLUSIONS: Musculoskeletal pain is the most common type in PD patients with pain. Depression is probably an independent risk factor for pain in PD patients. Delayed recall is the dominant impaired cognitive function.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".