Future therapeutic directions for factor Xa inhibition in the prophylaxis and treatment of thrombotic disorders
Bibliographic record
Abstract
The targeted mechanism of factor Xa inhibition has been studied extensively, initially as prophylaxis for venous thromboembolism (VTE) in the orthopedic surgical setting. Future therapeutic directions for selective factor Xa inhibition in the management of other thrombotic diseases are discussed. Thromboembolic diseases can occur in the venous or arterial sides of the circulatory system. Factor Xa inhibition is a targeted approach to anticoagulation that resulted from significant advances in our understanding of the coagulation cascade. The factor Xa inhibitor fondaparinux has been studied extensively in the orthopedic surgical setting for the prophylaxis of VTE. Current investigations that are under way or completed evaluate the efficacy and safety of fondaparinux for the management of various thrombotic diseases. The future development of fondaparinux resides primarily in three therapeutic areas: prevention of VTE, treatment of VTE, and treatment of acute coronary syndromes. For the prevention of VTE, fondaparinux has been studied as extended prophylaxis following hip fracture surgery (PENTHIFRA Plus), for use in high-risk abdominal surgical patients (PEGASUS and APOLLO), and for use in medical patients (ARTEMIS). Studies evaluating fondaparinux for the treatment of VTE are part of the large MATISSE clinical program (MATISSE DVT and MATISSE PE). Fondaparinux was investigated in phase 2 studies for the treatment of acute coronary syndromes, including acute ST-segment myocardial infarction (PENTALYSE) and unstable angina (PENTUA). Encouraging data from these trials are the basis for phase 3 programs in this area (MICHELANGELO). The orthopedic prophylactic and nonorthopedic clinical programs for fondaparinux in the management of thrombosis support the concept that targeted inhibition of coagulation is an effective advance in antithrombotic therapy.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
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".