Screening of cognitive impairment in early stage parkinson disease with Montreal cognitive assessment scale
Why this work is in the frame
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Bibliographic record
Abstract
Objective To compare the ability of Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) in screening cognitive impairment in early stage of Parkinscn disease (PD). Methods The cognitive function of 101 patients with Parkinson disease (Hohen-Yahr stage 1-3) was assessed with MMSE. Ninety-six patients defined as having a normal age- and education-adjusted MMSE score were assessed subsequently with MoCA. The 96 patients were divided into two groups according to cut-off points of 26 of MoCA. The performance of cognitive domain was compared between PD-MCI group (MoCA <26) and control group (MoCA≥26). Results Mean MMSE and MoCA scores (standard deviation) were 27.17 (2.69) and 22.60(4.42) , respectively. 75% of the patients with normal MMSE scores had cognitive impairment according to their MoCA score. The PD-MCI group had lower scores in numerous cognitive domains (visuospatial and executive abilities, naming, attention,language, ab-straction, delayed memory) compared with control group (PD-MCI group: 3.11±1.40,2.56±0.69,5.07±1.05, 1.69±0.85,1.08±0.84, 1.08±1.31 ;Control group:4.75±0.61,2.92±0.28,5.88±0.45,2.46±0.66, 1.92±0.28,3.50±0.78, P<0.05). Predictors of cognitive impairment on the MoCA using univariate analyses were gender, age, education, Hoehn-Yabr stage, Unified Parkinscn Disease Rating Scale, depression severity (HAMD) and hallucination (r was-0.205,-0.209,0.263,-0.352,-0.225,-0.293 and-0.218, respectively). Condusions The MoCA is a more sensitive screening than the MMSE for cognitive impairment in early stage of PD. Key words: Parkinson disease; Cognitive impairment; Assessment
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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 it