Treatment of a Whole Population Sample of Alzheimer’s Disease with Donepezil over a 4-Year Period: Lessons Learned
Bibliographic record
Abstract
BACKGROUND: In the UK it is recommended that acetylcholinesterase inhibitors be restricted to patients with moderate Alzheimer's disease, and progress monitored within specialist clinics. OBJECTIVE: To describe a cohort of patients with Alzheimer's disease from a whole city population treated with donepezil, and to analyse outcomes over 4 years. METHODS: Historical cohort design: 88 patients recruited 1997-1998, assessed at baseline with 4-year follow-up, using an agreed protocol and validated measures: survival, retention in treatment, cognition, non-cognitive symptoms, weight change, carer stress. RESULTS: 64.7% remained on treatment beyond 6 months, 57.9% beyond 1 year and 12.5% beyond 4 years. 56% remained alive at 4 years - almost twice the number predicted. Mean MMSE score amongst patients in treatment did not deteriorate over 4 years. Survival, retention in treatment, maintenance/improvement of cognition was greater with high baseline MMSE. Non-cognitive symptoms, carer stress and weight change remained low throughout. CONCLUSIONS: A minority of people with dementia from the population (88 of potential 2,000 at outset, 11 by 4 years) received treatment. Benefits for individuals were confirmed, especially for those with mild impairment. Expenditure on medication was modest in a population context. These findings question recent guidance from the National Institute for Clinical Excellence, which would restrict therapy to patients with moderate cognitive impairment.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".