Validierung eines kurzen Testverfahrens (3MS-R) für die Erkennung der Alzheimer-Demenz
Bibliographic record
Abstract
BACKGROUND: The Modified Mini-Mental State Examination-revised (3MS-R) is a brief cognitive test designed to detect cognitive impairment, which is often used in Canada and USA. OBJECTIVE: To assess the accuracy of the 3MS-R in identifying Alzheimer's disease (AD) in comparison with the conventional Mini-Mental State Examination (MMSE) in a German-speaking population. SUBJECTS: The study refers to 31 patients with early AD and 5 patients with moderate dementia of AD etiology, as well as to 46 age-matched cognitively normal participants. METHOD: The 3MS-R and the MMSE were validated against an expert diagnosis based on a comprehensive diagnostic workup. The 3MS scores were adjusted for educational attainment. Statistical analysis was performed using the Receiver Operating Characteristics (ROC). RESULTS: ROC curves demonstrated the superiority of the ACE over the MMSE in identifying AD (Area under the Curve: 3MS-R vs. MMSE: 0.995 vs.0.953). The optimal cut-off score for the 3MS for detecting AD was 88 and had a sensitivity of 98% and a specificity of 94%. The German version of the 3MS-R is a short and practical but accurate test battery for the identification of AD. The effectiveness of the German version of the test in detecting other forms of dementias or mild cognitive impairment could be a task for future studies.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".