Evolving use of new oral anticoagulants for treatment of venous thromboembolism
Bibliographic record
Abstract
The new oral anticoagulants (NOACs), which include dabigatran, rivaroxaban, apixaban, and edoxaban, are poised to replace warfarin for treatment of the majority of patients with venous thromboembolism (VTE). With a rapid onset of action and the capacity to be administered in fixed doses without routine coagulation monitoring, NOACs streamline VTE treatment. In phase 3 trials in patients with acute symptomatic VTE, NOACs have been shown to be noninferior to conventional anticoagulant therapy for prevention of recurrence and are associated with less bleeding. Rivaroxaban and dabigatran are already licensed for VTE treatment in the United States, and apixaban and edoxaban are under regulatory consideration for this indication. As the number of approved drugs increases, clinicians will need to choose the right anticoagulant for the right VTE patient. To help with this decision, this review (1) compares the pharmacologic profiles of the NOACs, (2) outlines the unique design features of the phase 3 trials that evaluated the NOACs for VTE treatment, (3) reviews the results of these trials highlighting similarities and differences in the findings, (4) provides perspective about which VTE patients should receive conventional treatment or are candidates for NOACs, and (5) offers suggestions about how to choose among the NOACs.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| 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 | 0.001 |
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".