Bibliographic record
Abstract
Fondaparinux (Arixtra) is the first of a new class of antithrombotic compounds - Factor Xa inhibitors. This synthetic pentasaccharide acts by inhibiting Factor Xa selectively. Its efficacy and safety have been demonstrated in animal models of venous and arterial thromboses and bleeding risk. In humans, its pharmacokinetic profile after subcutaneous injection shows a rapid onset of antithrombotic activity and an elimination half-life that reliably allows once-daily dosing. As the inter-subject variability is limited, no laboratory monitoring of coagulation parameters is needed. The efficacy and safety of fondaparinux have been examined in several Phase II and III clinical trials. So far, the largest programme has involved approximately 9000 patients undergoing major orthopaedic surgery of the lower limbs. In the setting of short-term prophylaxis, the efficacy of fondaparinux for preventing venous thromboembolism was significantly superior to that of the low-molecular-weight heparin, enoxaparin (common reduction in risk: 50.6%; p < 0.001). The benefit of extended thromboprophylaxis with fondaparinux in hip fracture surgery patients was also demonstrated. Fondaparinux also showed benefit in the prevention of venous thromboembolism in other surgical and medical settings and in the treatment of patients with venous thromboembolism. Overall, fondaparinux therapy was as well-tolerated as currently available treatments. In conclusion, selective inhibition of Factor Xa is an effective antithrombotic strategy. Fondaparinux may substantially improve the prevention and treatment of thrombosis. Fondaparinux 2.5 mg once-daily s.c. has been approved for the prevention of venous thromboembolism after major orthopaedic surgery. Fondaparinux use in extended prophylaxis (4 weeks) after hip fracture surgery has also been recently approved.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".