Bibliographic record
Abstract
Dabigatran etexilate is a direct thrombin inhibitor that offers potential advantages over existing anticoagulants for the prevention and treatment of venous and arterial thrombosis. It is administered orally, has a rapid onset of action, a predictable anticoagulant effect and does not require laboratory monitoring. Trial results indicate that dabigatran etexilate has similar efficacy, risk of bleeding and tolerability compared with currently used anticoagulants. Dabigatran etexilate is approved in Europe and Canada for the prophylaxis of venous thromboembolism in patients undergoing hip- and kneereplacement surgery. Trials involving more than 40,000 patients are evaluating the safety and efficacy of dabigatran etexilate for the treatment of deep-vein thrombosis and pulmonary embolism, primary and secondary prevention of venous thromboembolism, prevention of stroke and systemic embolism in patients with nonvalvular atrial fibrillation, and prevention of cardiac events in patients with acute coronary syndromes. The drug may have its greatest impact in providing a much-needed and attractive alternative to vitamin K antagonists.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".