Modified Criteria for Diagnosing “Cognitive Frailty”
Bibliographic record
Abstract
The concept of cognitive frailty has recently been proposed by an International Consensus Group as the presence of physical frailty and cognitive impairment [defined using the Clinical Dementia Ratings (CDR)=0.5], without concurrent dementia. However, CDR is difficult to implement and not often available in epidemiologic studies or busy clinical settings, and an alternative to CDR is required. We suggest an alternative definition of cognitive frailty as: 1) physical frailty, 2) more than 1.5 standard deviation below the mean for age-, gender-, and education-adjusted norms on any cognitive function test (e.g., the Montreal Cognitive assessment test, the Alzheimer's disease assessment scale-cognitive subscale, verbal learning test, Digit Span, Boston Naming Test, Trail Making Test, and Frontal Assessment Battery), and 3) no dependency in instrumental activities of daily living. The redefined criteria for cognitive frailty would be more feasible to implement and thus more applicable in epidemiologic studies and busy clinical settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".