MoCA, ACE-R, and MMSE versus the National Institute of Neurological Disorders and Stroke-Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards Neuropsychological Battery after TIA and stroke.
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The Montreal Cognitive Assessment (MoCA) and Addenbrooke's Cognitive Examination-Revised (ACE-R) are proposed as short cognitive tests for use after stroke, but there are few published validations against a neuropsychological battery. We studied the relationship between MoCA, ACE-R, Mini-Mental State Examination (MMSE) and mild cognitive impairment (MCI) in patients with cerebrovascular disease and mild cognitive impairment (MCI). METHODS: One hundred consecutive non-institutionalized patients had the MMSE, MoCA, ACE-R, and National Institute of Neurological Disorders and Stroke-Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards Neuropsychological Battery ≥ 1 year after transient ischemic attack or stroke in a population-based study. MCI was diagnosed using modified Petersen criteria in which subjective cognitive complaint is not required (equivalent to cognitive impairment-no dementia) and subtyped by number and type of cognitive domains affected. RESULTS: Among 91 nondemented subjects completing neuropsychological testing (mean/SD age, 73.4/11.6 years; 44% female; 56% stroke), 39 (42%) had MCI (amnestic multiple domain=10, nonamnestic multiple domain=9, nonamnestic single domain=19, amnestic single domain=1). Sensitivity and specificity for MCI were optimal with MoCA <25 (sensitivity=77%, specificity=83%) and ACE-R <94 (sensitivity=83%, specificity=73%). Both tests detected amnestic MCI better than nonamnestic single-domain impairment. MMSE only achieved sensitivity >70% at a cutoff of <29, mainly due to relative insensitivity to single-domain impairment. CONCLUSIONS: The MoCA and ACE-R had good sensitivity and specificity for MCI defined using the Neurological Disorders and Stroke-Canadian Stroke Network Vascular Cognitive Impairment Battery ≥1 year after transient ischemic attack and stroke, whereas the MMSE showed a ceiling effect. However, optimal cutoffs will depend on use for screening (high sensitivity) or diagnosis (high specificity). Lack of timed measures of processing speed may explain the relative insensitivity of the MoCA and ACE-R to single nonmemory domain impairment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".