Abstract 9758: Estimating Cardiovascular and Limb Benefits of Combined Contemporary Risk Reduction Therapies in Patients with Symptomatic Peripheral Artery Disease: An Analysis of Randomized Controlled Trials
Bibliographic record
Abstract
Introduction: Individual randomized controlled trials (RCTs) have shown beneficial effects of low dose rivaroxaban and PCSK9 inhibition (PCSK9i) in addition to background aspirin and statin in patients with peripheral artery disease (PAD). However, the combined effect of these pharmacotherapies is not known. In this analysis of RCT data, we sought to estimate the combined effect of contemporary risk reduction therapies in patients with PAD. Methods: We used data from the COMPASS (n=4,129) and FOURIER (n=3,642) trials to estimate the combined effect of contemporary (aspirin, statin, low dose rivaroxaban and PCSK9i) versus standard therapy (aspirin and statin) in symptomatic PAD patients. The primary outcome was a composite of major adverse cardiovascular (MACE) or limb (MALE) events. Using the hazard rates for low dose rivaroxaban versus control and PCSK9i versus control from the two trials, we estimated the hazard rate for combined therapy by assuming that the treatment effects are approximately additive on the log hazard rate (no interaction between the two treatments). We then used an exponential model to simulate event-free survival and cumulative incidence functions, and hazard ratios (HRs) for the combined versus the standard therapy group. Results: Compared with standard therapy, combined contemporary pharmacotherapy estimated a 50% reduction in MACE or MALE (HR, 0.50; 95% confidence interval [CI], 0.36-0.70; P<0.001). The 3-year cumulative incidence probability of MACE or MALE was 9.1% in the combined group and 15.4% in the standard therapy group ( Figure ). The hazards for MACE (HR, 0.52; 95% CI, 0.36-0.75; P=0.001) and MALE (HR, 0.35; 95% CI, 0.18-0.68; P=0.002) also favored combined contemporary therapy. Conclusions: Thoughtful incorporation of contemporary pharmacotherapies that include low dose rivaroxaban and PCSK9i in addition to aspirin and statin has the potential to substantially reduce cardiovascular and limb events in patients with PAD.
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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 | 0.229 | 0.318 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.033 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".