Non-motor symptoms in Parkinson′s disease patients with different motor types
Bibliographic record
Abstract
One hundred ten patients with Parkinson′s disease (PD) and 110 age-matched healthy controls were enrolled in the study. The non-motor symptoms (NMS) were assessed with Non-motor symptoms of Parkinson′s disease questionnaire (PDNMSQ30). The PD patients were classified as gait abnormality posture type (PIGD, n=73) and tremor type (TD, n=37). The non-motor symptoms were compared between two groups. Results showed that the NMS in PD patients was higher than that in healthy controls[(35.2±3.0) vs. (6.0±2.0) symptoms, t=6.43, P=0.01]. The NMS score of PIGD group was higher than that of TD group[(28.9±1.1)vs.(6.2±0.7)symptoms, t=2.73, P<0.01]; Mini-mental state examination (MMSE) and Montreal cognitive assessment scale (MoCA) scores of TD group were significantly higher than those of PIGD group(t=11.52, P<0.01; t=8.79, P<0.01). The results indicate that for PD patients with different motor types, their NMS are different, and PD patients with PIGD have more axial involvement, and more NMS. Key words: Parkinsons disease; Motor types; Non-motor symptom; Hoehn-Yahr classification; Tremor dominant
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".