Dabigatran in Atrial Fibrillation: New Kid on the Block
Bibliographic record
Abstract
In Canada, atrial fibrillation (AF) is the most prevalent cardiac arrhythmia.1 It is associated with an increase in morbidity and mortality, with cardioembolic stroke being one of the most feared complications.2 Anticoagulation is an effective means of reducing the risk of stroke. Currently, warfarin is the preferred agent in patients at high risk of stroke.3,4 However, maintaining warfarin therapy within its narrow therapeutic window is challenging, even for specialized anticoagulation clinics.5 Many factors contribute to the variable dose response of warfarin, such as inter-individual variability, comorbidities and drug and food interactions.5 Dabigatran is a novel therapeutic alternative that provides more predictable anticoagulation with less laboratory monitoring, and it is poised to take over some of warfarin's role in AF stroke prophylaxis. While other novel agents, such as rivaroxaban and apixaban, have proven to be beneficial in stroke prophylaxis in AF, discussion of their roles is beyond the scope of this article.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 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".