Clinical correlates of fear of falling in progressive supranuclear palsy and multiple system atrophy
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Clinical correlates of fear of falling (FoF) are scarcely studied in patients with progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). This study was undertaken to evaluate the clinical correlates of FoF in PSP and MSA. METHODS: This cross-sectional study features motor, cognitive, and psychiatric assessment and longitudinal evaluation of falls and FoF at 6-month follow-up. RESULTS: Twenty-one patients with PSP-parkinsonism, 22 patients with MSA (13 parkinsonian type and nine cerebellar type), and 22 healthy controls were evaluated; 76.2% of patients with PSP and 86.4% of patients with MSA had FoF regardless of falls. Berg Balance Scale (p < 0.001), Tinetti Mobility Test (p < 0.01), Beck Anxiety Inventory (p = 0.001), and Beck Depression Inventory-II (p = 0.01) correlated with FoF in patients with PSP and MSA, whereas Timed Up and Go test (p = 0.01) and Starkstein Apathy Scale correlated only in MSA (p = 0.04). CONCLUSIONS: Mobility, balance, and gait performance as well as anxiety and depression in PSP and MSA, and apathy in MSA, were determinants of FoF. These findings underline the importance of a multidisciplinary approach to FoF in neurodegenerative atypical parkinsonism.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".