Factors associated with persistence of cholinesterase inhibitor treatments in the elderly
Bibliographic record
Abstract
PURPOSE: To identify factors associated with one-year persistence of cholinesterase inhibitor (ChI) treatments. METHODS: A retrospective cohort study was performed using the reimbursement database of the Echantillon Généraliste des Bénéficiaires, a 1/96(e) representative sample of subjects affiliated to the French National Healthcare Insurance System. Among this, patients who initiated a ChI treatment between 1 January 2004 and 31 December 2005 and for whom 1 year of follow-up in the database after treatment initiation was available were identified. One-year persistence of ChI treatment was defined as an ongoing treatment without dispensing interval exceeding 60 consecutive days during the 12 months following treatment initiation. Drug switches were not considered as treatment discontinuation. A multivariate logistic regression was conducted to identify, among patients characteristics (sociodemographic, drug uses), factors associated with one-year persistence of ChI treatments. RESULTS: Among the 942 patients who initiated a treatment with ChI during the study period, 72.4% were women; mean age was 79.6 years (SD = 7.4). Patients used eight other different drugs in median (Inter-Quartile Range: 5-11); 63.7% used psychotropics, 63.6% used cardiovascular drugs. One-year persistence of ChI treatments was estimated at 45.3%. Persistence of ChI treatments was lower in patients aged 80 years and over (OR = 0.74, 95%CI: 0.57-0.96); it was higher in patients using antidepressants at ChI treatment initiation (OR = 1.38, 95%CI: 1.05-1.82). CONCLUSIONS: One-year persistence of ChI treatment was estimated at 45.3% in this French sample. To optimize persistence of ChI treatment in the demented, patients poorly symptomatic and/or aged over 80 years should be especially monitored.
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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 | 0.002 | 0.001 |
| 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".