Associated factors for quality of life in patients with progressive supranuclear palsy
Bibliographic record
Abstract
Objective To explore the associated factors for quality of life in patients with progressive supranuclear palsy (PSP). Methods A total of 218 PSP patients were included from January 2012 to December 2019. Demographic and clinical data were collected. The quality of life was evaluated by the 39⁃Item Parkinson's disease Questionnaire (PDQ⁃39). The Progressive Supranuclear Palsy Rating Scale (PSPRS) was used to assess the severity of PSP related motor and non⁃motor symptoms, while the Non⁃Motor Symptoms Scale (NMSS) was used to elevate the non⁃motor symptoms, Hamilton Depression Rating Scale⁃24 (HAMD⁃24), Hamilton Anxiety Rating Scale (HAMA), Lille Apathy Rating Scale (LARS), Frontal Assessment Battery (FAB), and Montreal Cognitive Assessment (MoCA) were used. The Pearson and partial correlation followed by the multiple linear regression were used to explore the correlates of the PDQ⁃39 score. Results Correlation analysis indicated that the PDQ⁃39 score was positively correlated with disease duration (r=0.301, P=0.000), Charlson Comorbidity Index (CCI; r=0.147, P=0.031), levodopa equivalent daily dose (LEDD; r=0.225, P=0.001), and scores for the PSPRS (r=0.551, P=0.000), NMSS (r=0.484, P=0.000), HAMD⁃24 (r=0.515, P=0.000), HAMA (r=0.439, P=0.000) and LARS (r=0.476, P=0.000), but was negatively correlated with scores of FAB (r=⁃0.325, P=0.000) and MoCA (r=⁃0.355, P=0.000). Multiple linear stepwise regression model indicated that the PDQ⁃39 score was significantly associated with female (P=0.021), longer disease duration (P=0.026), higher LEDD (P=0.008), higher PSPRS score (P=0.000), higher NMSS score (P=0.002), higher HAMD⁃24 score (P=0.004), and higher LARS score (P=0.000). Conclusions Female, longer disease duration, higher LEDD, and more severe motor and non⁃motor symptoms contribute to the reduced quality of life in patients with PSP. Our study is beneficial to the clinical management of patients with PSP.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".