A Short Cognitive and Neuropsychiatric Assessment Scale for Progressive Supranuclear Palsy
Bibliographic record
Abstract
BACKGROUND: Patients with Progressive Supranuclear Palsy (PSP) suffer from several neuropsychological impairments. These mainly affect the frontal lobe and subcortical brain structures. However, a scale for the assessment of cognitive and neuropsychiatric disability in PSP is still missing. OBJECTIVES: To create and validate a new scale for cognitive and neuropsychiatric impairment in PSP. METHODS: The Short Cognitive and Neuropsychiatric (ShoCo) scale was developed containing five items (bradyphrenia, apathy, aphasia, dysexecution and disinhibition). Each item can be categorized into 0 = no deficit, 1 = mild deficit, 2 = moderate deficit and 3 = severe deficit. The total score includes 15 points, 0 meaning no deficit and 15 severe deficits. Cross-sectional and longitudinal data from 201 baseline and 71 follow up patients were analyzed. RESULTS: Baseline ShoCo scale results were 5.9 ± 2.9. No significant differences between patients with Richardson syndrome (PSP-RS) and variants (vPSP) could be detected in the PSP-ShoCo scale scores (PSP-RS 6.1 ± 3.0, n = 160, vPSP 5.1 ± 2.6, n = 41, P = 0.057). The scale showed good correlation with established scores (eg, Montreal cognitive assessment r = -0.535, P = 0.001). The ShoCo scale showed significant annualized change within the PSP-RS patients (baseline 6.2 ± 2.9, follow up 6.9 ± 3.1, annualized diff. 1.0 ± 3.1, n = 57, P = 0.022). CONCLUSIONS: The ShoCo scale seems a promising and valid tool to measure specific neuropsychological disabilities of PSP patients in clinical routine and research.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".