Changes on brief cognitive instruments over time in Parkinson's disease
Bibliographic record
Abstract
Two hundred and twenty-one subjects with Parkinson's disease (PD) were examined using the Mini-Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA), with a subset of these (n = 98) examined on repeat testing up to 3 years. The MoCA was more sensitive in identifying cognitive deficit, specifically in the domains of visuospatial abilities, language, and memory. In longitudinal study, the MMSE changed significantly over time, particularly in patients with disease duration of >10 years. The MoCA, however, did not change significantly, even when subjects were stratified by age, MMSE score, and disease duration. This suggests that the MoCA may be more sensitive for detecting early cognitive change in PD, but that the MMSE, and not the MoCA, may be better for tracking cognitive decline.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".