The Atorvastatin/Donepezil in Alzheimer's Disease Study (LEADe): Design and baseline characteristics
Bibliographic record
Abstract
BACKGROUND: Growing evidence suggests that elevated cholesterol levels in mid-life are associated with increased risk of developing Alzheimer's disease (AD), and that statins might have a protective effect against AD and dementia. The Lipitor's Effect in Alzheimer's Dementia (LEADe) study tests the hypothesis that a statin (atorvastatin 80 mg daily) will provide a benefit on the course of mild to moderate AD in patients receiving background therapy of a cholinesterase inhibitor (donepezil 10 mg daily). METHODS: This is an international, multicenter, double-blind, randomized, parallel-group study with a double-blind randomized withdrawal phase of patients with mild to moderate AD (Mini-Mental State Examination [MMSE] score, 13 to 25). Inclusion criteria included age 50 to 90 years, receiving donepezil 10 mg for at least 3 months before randomization, and low-density lipoprotein cholesterol levels (LDL-C) 2.5 to 3.5 mmol/L (95 to 195 mg/dL). Co-primary end points are changes in AD Assessment Scale-cognitive subscale (ADAS-cog) and AD Cooperative Study-Clinical Global Impression of Change (ADCS-CGIC) scale scores. A confirmatory end point is rate of change in whole brain and hippocampal volumes in patients who enrolled in the magnetic resonance imaging substudy. RESULTS: Enrollment of 641 subjects is complete. The baseline mean data are age 74 +/- 8 years, 53% women, MMSE 22 +/- 3, ADAS-cog 23 +/- 10, AD Functional Assessment and Change Scale (ADFACS) 13 +/- 9, Neuropsychiatric Inventory (NPI) 10 +/- 11, and Clinical Dementia Rating-Sum of Boxes (CDR-SB) 6 +/- 3. Mean prior donepezil treatment was 409 +/- 407 days. Mean baseline lipid levels are total cholesterol 5.8 +/- 0.8 mmol/L (224 +/- 33 mg/dL), LDL-C 3.7 +/- 0.7 mmol/L (143 +/- 26 mg/dL), triglycerides 1.5 +/- 0.7 mmol/L (132 +/- 64 mg/dL), and high-density lipoprotein cholesterol 1.6 +/- 0.5 mmol/L (64 +/- 18 mg/dL). CONCLUSIONS: LEADe will report in 2008 and is expected to provide a more definitive evaluation of the potential for statins in the treatment of people with AD.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".