P1‐343: MOCA, MMSE, AND ACE‐R FOR THE ASSESSMENT OF MILD COGNITIVE IMPAIRMENT IN PATIENTS WITH PARKINSON's DISEASE
Bibliographic record
Abstract
Cognitive impairment is common in PD patients ranging from mild cognitive impairment (MCI) to dementia. Different scales have been proposed to detect cognitive impairment in patients with PD. Recently, diagnostic criteria were published by a Movement Disorder Society Task Force to diagnose PD-MCI using two levels of diagnostic certainty. For Level I, use of cognitive screening scales has been one of the proposed assessment methods.We assessed the performance of three screening scales; Montreal Cognitive Assessment (MOCA), Mini Mental State Examination (MMSE) and Addenbrooke's Cognitive Examination-Revised (ACE-R) to detect mild cognitive impairment in Parkinson's Disease (PD-MCI) in patients diagnosed to give PD-MCI using comprehensive neuropsychological testing and the diagnostic criteria proposed by the Movement Disorder Society Task Force. We enrolled 86 consecutive patients form our Outpatient Clinic with a diagnosis of idiopathic PD and who consented to participate. Patients with a diagnosis of dementia and other co-morbid conditions such as depression were excluded. This resulted in a population of 68 patients. We used MOCA, MMSE and ACE-R screening batteries for Level I and an extensive neuropsychological battery for Level II assessment. We first diagnosed PD-MCI on the basis of comprehensive neuropsychological assessment. We then calculated the area under the receiver-operator characteristics curve (AUC) and compared across the three screening batteries. Sensitivity, specificity, positive and negative predictive values for MOCA, MMSE, and ACE-R were calculated across various cut-off scores. None of the three screening batteries provided a satisfactory combined sensitivity and specificity for the diagnosis of PD-MCI. The AUC was 0.75 (95% CI, 0.63-0.85) for the MOCA, 0.75 (95% CI, 0.63-0.85) for the MMSE, and 0.75 (95% CI, 0.63-0.85) for the ACE-R. For screening purposes, the lowest cut-off score that provided 80% sensitivity, the specificity of the MOCA was 64%, of the MMSE was 39%, and of the ACE-R was 54%. For diagnostic purposes the highest cut-off score that provided at least 80% specificity, the sensitivity of MOCA was 59%, that of MMSE was 48%, and that of ACE-R was 52%. The cognitive screening scales MMSE, MOCA and ACE-R showed comparable and not satisfactory performance to diagnose PD-MCI.
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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".