Bivalirudin for the treatment of heparin-induced thrombocytopenia
Bibliographic record
Abstract
INTRODUCTION Bivalirudin (Angiomax), a direct thrombin inhibitor (DTI), has been approved in 42 countries worldwide. In the United States, Argentina, and Peru it is approved for use in heparin-induced thrombocytopenia (HIT), but only for those patients undergoing percutaneous transluminal coronary angioplasty (PTCA) or percutaneous coronary intervention (PCI). In Canada, it is approved for use in HIT patients undergoing PCI or cardiac surgery (Warkentin et al., 2008a). Bivalirudin is also approved in the United States, Canada, Australia, New Zealand, Israel, Argentina, Peru, Chile, Venezuela, India, Russia, Ukraine, Norway, Iceland, Switzerland, and the 27 members of the European Union (EU) for use as an anticoagulant in patients undergoing PCI (and in some countries with provisional use of glycoprotein (GP) IIb/IIIa inhibitor), and with concomitant aspirin. In some jurisdictions (e.g., the EU, Canada, Australia), the label also includes treatment of patients with moderate-to high-risk acute coronary syndrome (ACS)/unstable angina (UA)/non-ST segment elevation myocardial infarction (NSTEMI) who are undergoing early invasive management. In the EU it is marketed under the trade name Angiox (Warkentin and Koster, 2005).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.011 |
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".