The Disability Assessment for Dementia Scale: A 12-Month Study of Functional Ability in Mild to Moderate Severity Alzheimer Disease
Bibliographic record
Abstract
The Disability Assessment for Dementia (DAD) scale was developed and validated as a measure of functional ability in dementia. DAD results have been reported in Alzheimer disease (AD) randomized, controlled treatment trials of up to 6 months, but results beyond 6 months have yet to be described. SAB INT 12 was a randomized, double-blind, placebo-controlled, parallel-group study in mild to moderate AD that included DAD assessments at baseline, month 6, and month 12. One hundred forty-four patients with AD in the placebo arm of SAB INT 12 were followed up for 12 months. DAD scores were obtained at baseline (mean DAD = 70.1, SD = 22.2), 6 months (mean DAD = 63.7, SD = 25.2), and 12 months (mean DAD = 59.3, SD = 28.9). The rate of decline was consistent across the domains of basic activities of daily living (ADLs) and instrumental ADLs, as well as the scoring of initiation, planning, and organization. The decline in DAD total scores in mild to moderate AD averages about one point per month, which equates to the loss of one item on the DAD scale every 2 months.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".