Importance of focusing on subjective symptoms to maintain quality of life in patients with Parkinson's disease for over 5 years
Bibliographic record
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder that causes a variety of motor and non-motor symptoms (NMS), which affect the patient's quality of life (QOL). This study aimed to compare QOL and background in patients with PD based on the disease duration and investigate the factors affecting QOL. Patients with PD were evaluated based on age, sex, disease duration (≤5 years and > 5 years groups), Mini Mental State Examination (MMSE), Japanese version of Montreal Cognitive Assessment (MoCA-J), Levodopa equivalent daily dose (LEDD), Hoehn and Yahr (HY) severity, movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS) parts I-IV, and QOL using the Parkinson's disease questionnaire (PDQ-8). Overall, 102 patients with PD (58 males; mean age = 70.0 years; mean disease duration = 7.3 years) were included in this study. QOL was significantly correlated (r > 0.30, p < 0.05) with disease duration and MDS-UPDRS parts I-IV total scores. When the PDQ-8 total score was compared with MDS-UPDRS parts I-IV total scores based on disease duration classification, it was positively correlated with the scores for parts I and II in the >5 years group. Moreover, MDS-UPDRS parts I and II total scores appeared to be the factors most significantly affecting QOL. The factors affecting QOL in patients with PD were subjective NMS and motor symptoms. Since, physician-rated motor symptoms were not associated with QOL in patients with >5 years PD, subjective symptoms should be evaluated and treated to maintain QOL.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".