Bibliographic record
Abstract
OBJECTIVE: To compare brief dementia screening tests as candidates for routine use in primary care practice. METHOD: We selected screening tests that met 2 criteria: 1) administration time of 10 minutes or less in studies including individuals with, and without, dementia; and 2) performance characteristics evaluated in at least 1 community or clinical sample of older adults. We compared tests for face validity, sensitivity, and specificity in a clearly defined subject sample; for vulnerability to sociodemographic biases unrelated to dementia; for direct comparison with an accepted standard; for acceptability to patients and doctors; and for brevity and ease of administration, scoring, and interpretation by nonspecialists. RESULTS: Thirteen instruments met our inclusion criteria. Very short tests (1 minute or less) proved unacceptable by several criteria. Standard instruments requiring more than 5 minutes to complete, including the best-studied Mini-Mental State Examination (MMSE), were found to be too long for routine application. Several failed other performance tests or could not be adequately assessed. Short tests taking between 2 and 5 minutes that can be administered by nonspecialists with little or no training and are relatively unbiased by language and education level appear to be superior to both shorter and longer instruments. CONCLUSIONS: Three tests showed the most promise for broad application in primary care settings: the Mini-Cog, the Memory Impairment Screen, and the General Practitioner Assessment of Cognition (GPCOG). Formal practice intervention trials are now needed to validate the utility of short screens with regard to implementation, effect on rates of diagnosis and treatment of dementia patients, and outcomes for patients, families, and health care systems.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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".