Selecting oral antithrombotic therapies in peripheral arterial disease: A guide for practitioners
Bibliographic record
Abstract
PURPOSE: The purpose of this review is to guide practitioners through the certainty, and uncertainty, that surrounds optimal management of antithrombotic therapies in patients with lower-extremity peripheral arterial disease. It also provides practitioners with a framework from which to apply these therapies safely and effectively to optimize patient outcomes. SUMMARY: Peripheral arterial disease is an underdiagnosed and undertreated disease entity. Chronic antithrombotic therapies play a pivotal role in the prevention of thrombotic events in patients with lower-extremity peripheral arterial disease. Whether antiplatelet therapy, oral anticoagulation, or a combination of antiplatelet and anticoagulant therapies is best suited to prevent major cardiovascular and limb events in this patient population has been a long-standing clinical question. There is a great deal of variability in real-world practice as to which agents and dose intensities are used chronically for this purpose. Recent major publications exploring the use of "dual-pathway inhibition" have helped clarify best antithrombotic practices in patients with symptomatic peripheral arterial disease, and these have had a major impact on recently updated guidelines in the US, Europe, and Canada. CONCLUSION: Pharmacists play an important role in reevaluating antithrombotic regimens for all patients with peripheral arterial disease, recognizing that recent landmark publications have led to substantial changes to international guidelines. Dual-pathway inhibition with combined low-dose rivaroxaban and low-dose aspirin therapy should be considered in all patients with symptomatic peripheral arterial disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".