A Comparison of Low Versus Standard Dose Pravastatin Therapy for the Prevention of Cardiovascular Events in the Elderly : The Pravastatin Anti-atherosclerosis Trial in the Elderly (PATE)
Bibliographic record
Abstract
Treatment with low drug doses is generally recommended in the elderly. However, the efficacy of low dose 3-hydroxy-3-methylglutaryl coenzyme A (HMG CoA) reductase inhibitor treatment in elderly hypercholesterolemic patients has never been examined. Therefore, we compared the effect of low-dose with standard dose pravastatin, an HMG CoA reductase inhibitor, on the incidence of cardiovascular events (CVEs) in elderly patients with hypercholesterolemia in a randomized prospective trial. Subjects aged > or = 60 years (73 +/- 6 years) with serum total cholesterol (TC) levels of 220-280 mg/dL were randomized to the low-dose (groupL, 5 mg/day; n=334) or standard dose (groupS, 10-20mg/day; n= 331). Baseline TC levels were similar in the 2 groups (253 +/-15 mg/dL). Patients were followed for 3-5 years (mean 3.9 years). TC levels decreased from baseline by 11-13% in group L and by 15-17% in groupS. TC levels at 1 year in S and L group were 209 +/- 2 mg/ dL (16 +/- 1% decrease) and 221+/- 2 mg/dL (12 +/- 1% decrease), respectively. Forty two and 29 CVEs occurred in group L and S, respectively. The incidence of CVEs was significantly lower in group S than in group L (P = 0.046, generalized Wilcoxon test; P = 0.096, log-rank test). The risk ratio for group S compared with group L was 0.674 (95% confidence interval: 0.423-1.074). Subgroup analyses suggested that the difference in the incidence of CVEs between the 2 groups was more clear in subjects without diabetes mellitus, with TC levels of < 253 mg/dL, and with TG levels of > or = 133 mg/dL. The incidence of CVEs in group S was significantly lower than that in group L in subjects without both diabetes mellitus and previous cardiovascular disease (P = 0.026, generalized Wilcoxon test; P = 0.032, log rank test). These findings suggest that standard-dose pravastatin (10-20 mg/day) is more effective in reducing the incidence of CVEs in the elderly than low dose pravastatin (5 mg/ day), especially in nondiabetic elderly patients with mild hypercholesterolemia or previous cardiovascular disease.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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 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".