Formulary Considerations Related to Warfarin Interchangeability
Bibliographic record
Abstract
INTRODUCTION For years, Coumadin (DuPont Pharma Inc., Mississauga, Ontario) was the only warfarin product marketed in Canada. Recently, 2 additional warfarin products have received approval for sale in Canada: Taro-Warfarin (Taro Pharmaceuticals Inc., Bramalea, Ontario) and Apo-Warfarin (Apotex Inc., Weston, Ontario). Warfarin is a drug with a narrow therapeutic range, as defined by Health Canada1: its ratio of minimum toxic concentration to median effective concentration is less than or equal to 2. In addition, warfarin has an unpredictable dose response; therefore, close therapeutic monitoring is required for optimal antithrombotic effect with minimal bleeding complications. Because minor dose changes can result in clinically significant changes in the international normalized ratio (INR), the issue of equivalence between brand name and generic warfarin products requires careful evaluation.2 Table 1 presents several characteristics used in assessing the degree of equivalence between the various warfarin formulations now available in Canada. These variables were used in deciding on the warfarin product to be included on the formulary at the authors’ hospital.
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 | 0.015 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".