Is Subjective Memory Loss Correlated with MMSE Scores or Dementia?
Bibliographic record
Abstract
OBJECTIVES: (1) To determine if subjective memory loss (SML) is associated with Mini-Mental State Examination (MMSE) scores, (2) to determine if this association persists after adjustment for other factors, and (3) to determine the sensitivity and specificity of SML for dementia. POPULATION: 1751 seniors sampled from a population registry. MEASURES: Age, sex, education, SML, the MMSE, and the Center for Epidemiologic Studies-Depression (CES-D) scale. Dementia was diagnosed by clinical examination. ANALYSIS: Linear regression models were constructed. The sensitivity and specificity of SML were determined with a diagnosis of dementia being the gold standard. RESULTS: SML was correlated with MMSE scores, even after adjusting for age, sex, education, and depressive symptoms. The sensitivity of SML was 0.58 (95% confidence interval [CI]: 0.45, 0.71), and the specificity was 0.76 (95% CI: 0.74, 0.78) for dementia. CONCLUSIONS: SML is correlated with MMSE score. However, SML is neither sensitive nor specific for dementia.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".