Longitudinal changes in functional disability in Alzheimer's disease patients
Bibliographic record
Abstract
BACKGROUND: Functional impairment is a core symptom of Alzheimer's disease (AD) often measured by loss of ability to perform activities of daily living (ADL). The objective is to describe the progressive loss of specific ADL functional capabilities expressed by AD patients' cognitive ability. METHODS: Data are from ELN-AIP-901, an observational study of cognitive progression in participants aged 50-85 with AD (n = 196), mild cognitive impairment (n = 70), or cognitively normal (n = 75). Participants were evaluated using the Mini-Mental Status Exam (MMSE) and the Disability Assessment for Dementia (DAD) every six months for ≤2 years. Hierarchical regression was used to estimate annual change in DAD and MMSE; first, by individuals' rate of change using linear regression, then controlling for baseline diagnosis. RESULTS: Over a two-year period, in AD participants, a 1-point change in MMSE was associated with a 3-point change in DAD (2.79, 95% CI: 1.97-3.63); DAD items within the finance, medication, and outings subdomains were impacted earlier than other subdomains; a hierarchy of functional impairment was observed, with instrumental ADL generally impaired prior to basic ADL. CONCLUSIONS: ADL are impacted in a progressive and hierarchical manner associated with cognitive decline, but substantial variability remains among individuals, as well as in the relative order of items affected.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".