Can You Have Dementia With an MMSE Score of 30?
Bibliographic record
Abstract
OBJECTIVE: To investigate the possibility that a patient with a diagnosis oF probable Alzheimer's disease (AD) can still obtain a score oF 30/30 on the Mini-Mental State Exam (MMSE). DESIGN: Chart review. Setting. The McGill University/Jewish General Hospital Memory Clinic. PARTICIPANTS: Participants were selected From the Memory Clinic's patient database. All underwent comprehensive evaluations, including relevant blood work and a computed tomographic scan or a magnetic resonance imaging scan oF the brain to rule out other causes oF dementia. MEASUREMENTS: All patients had one or more neuropsychological evaluation. Data oF all psychometric testing, including the MMSE, were gathered From these visits. Results. Eight patients were Found to meet the criteria oF AD although achieving a score oF 30/30 on the MMSE. Four oF 8 patients achieved this score although they were taking cholinesterase inhibitors. CONCLUSION: Although rare, it is possible to achieve a score oF 30/30 on the MMSE even iF a subject is suFFering From a dementing illness.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".