Fondaparinux, the first selective factor Xa inhibitor
Bibliographic record
Abstract
Fondaparinux (Arixtra, Sanofi-Synthelabo, Paris, France) is a pentasaccharide that selectively inhibits factor Xa; it is the first of a new class of synthetic antithrombotic agents. Fondaparinux has a linear pharmacokinetic profile allowing once-daily subcutaneous administration. Absence of metabolism, complete bioavailability, and lack of nonspecific binding in plasma contribute to the predictability of its effect. Fondaparinux has been approved for use in the prophylaxis of venous thromboembolism following orthopedic surgery. In this setting, it was found to reduce VTE risk by more than 50% in comparison with the low molecular weight heparin enoxaparin, with an incidence of clinically important bleeding not significantly different from that of standard low molecular weight heparin regimens. Furthermore, 4 weeks of prophylaxis with fondaparinux after hip fracture surgery was shown to reduce the risk of venous thromboembolism by 96% compared with 1-week prophylaxis. Finally, the efficacy and safety of fondaparinux in the treatment of venous thromboembolism and acute coronary syndromes appears promising.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".