Another oral thrombin inhibitor for stroke prevention in atrial fibrillation?
Bibliographic record
Abstract
Atrial fibrillation (AF), the most common arrhythmia, is associated with a five-fold increase in the risk of stroke (1). Furthermore, cardio-embolic strokes in AF patients tend to be severe, and are often fatal or associated with serious morbidity. Vitamin K antagonists, such as warfarin, produce about a 64% reduction in the risk of stroke in AF patients (2), but have numerous limitations that curtail their uptake and diminish their effectiveness. These limitations include a slow onset of action, a variable dose requirement, reflecting common genetic polymorphisms that influence their metabolism, and an unpredictable anticoagulant response because of differences in dietary vitamin K intake and numerous drug-drug interactions, which increase or decrease the anticoagulant effect (3). With the anticoagulant response so variable, routine monitoring is necessary to ensure that the international normalised ratio (INR) is therapeutic because overanticoagulation is associated with an increased risk of haemorrhage, whereas under-anticoagulation increases the risk of thrombosis. Such monitoring is inconvenient for patients and physicians and costly for the healthcare system. Because of the complexity of management, only about one-half of eligible patients with AF receive warfarin, and among those who receive such treatment, the INR is frequently outside of the therapeutic range (4). The large unmet need caused by the limitations of warfarin has prompted the development of new oral anticoagulants with potential advantages over existing agents. Ximelagatran, the first oral thrombin inhibitor, was effective for stroke prevention in patients with AF, but was withdrawn in 2006 because of potential hepatic toxicity (5). The effectiveness of ximelagatran prompted development of a second generation of oral thrombin inhibitors. The Randomized Evaluation of Long-Term Anticoagulant Therapy (RE-LY) trial demonstrated the effectiveness of dabigatran etexilate, the first of this new generation, for stroke prevention in AF, endorsing thrombin as an appropriate target for new anticoagulants. Two doses of dabigatran etexilate were compared with warfarin in this trial; the higher dose regimen (150 mg twice-daily) was associated with significantly fewer intracranial bleeds and strokes compared with warfarin, whereas the lower dose (110 mg twice-daily) was associated with significantly less major bleeding than warfarin and similar efficacy (6). AZD0837 is the second of the new generation of oral thrombin inhibitors. A follow-up of ximelagatran, AZD0837 is a prodrug of AR-H067637, a selective and reversible inhibitor of free and fibrin-bound thrombin (7). Cytochrome P450 isoenzymes in the liver convert AZD0837 to AR-H069927, an intermediate that undergoes further metabolism to AR-H067637, the active form. In healthy individuals, AR-H067637 has a plasma half-life of 9–14 hours and the drug is cleared in the urine and faeces. An immediate-release preparation was the first formulation of AZD0837 evaluated in clinical trials; a more recent extended-release formulation enables once-daily dosing. In this issue of Thrombosis and Haemostasis, Olsson et al. (8) report the results of a phase II, randomised, controlled, dosefinding study evaluating the safety and tolCorrespondence to: Dr. Jeffrey Weitz Henderson Research Centre 711 Concession Street Hamilton, Ontario L8V 1C3, Canada Tel.: +1 905 574 8550, Fax: +1 905 575 2646 E-mail: jweitz@thrombosis.hhscr.org
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".