Treatment with galantamine and time to nursing home placement in Alzheimer's disease patients with and without cerebrovascular disease
Bibliographic record
Abstract
OBJECTIVE: This study evaluated patient and treatment (galantamine and other acetylcholinesterase inhibitors (AChEIs)) factors associated with the time until nursing home placement (NHP) in patients with Alzheimer's disease (AD) with and without cerebrovascular disease (CVD). METHODS: Re-contact follow-up study conducted in 2004 of 548 patients who had previously participated in RCTs with galantamine. Time to NHP was analyzed using Kaplan-Meier estimates and Cox regression analysed factors associated with NHP. RESULTS: There were 57% of female subjects and the mean age (SE) was 73.6 (+/-0.33) years. Within this cohort 78% of patients had AD, and 22% had AD with CVD. Overall, 59% of subjects had a NHP (median 42.4 months 95%CI: 38.0-48.0). The Cox regression model identified higher baseline Disability Assessment in Dementia (DAD) and Mini Mental State Examination (MMSE) scores, diagnosis (AD with CVD vs AD), living with caregiver, country, and treatment duration with galantamine or other AChEIs as factors associated with a reduced risk of institutionalization (p < 0.05). For each year of treatment with galantamine or other AChEI, the risk of being admitted to a nursing home within a given period was reduced by 31% (galantamine) and 29% (other AChEI). CONCLUSIONS: Long-term treatment with galantamine or other AChEIs appears to be associated with a significant delay in the time to NHP in patients with AD and AD with CVD. Further prospective studies are needed to confirm these findings.
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 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".