Dabigatran: life-threatening bleeding.
Bibliographic record
Abstract
Dabigatran is an oral anticoagulant that inhibits thrombin but not vitamin K. In mid-2012, there was no commercial test to monitor its anticoagulant effect, nor an antidote. In mid-November 2011, the European pharmacovigilance database contained 256 reports of haemorrhagic deaths attributed to dabigatran. Nearly 800 cases of severe haemorrhage have been reported in Australia, Canada, Japan, New Zealand and the United States. A randomised trial comparing dabigatran with warfarin, and 5 studies of several hundred serious bleeding events, identified factors that increased the risk of bleeding. They included even mild renal failure, age over 75 years, body weight less than 60 kg, switching between anticoagulants, opening the dabigatran capsules before ingestion, and concomitant use of drugs that interact with dabigatran. A dabigatran dose below 220 mg per day does not protect patients from the risk of haemorrhage. In practice, dabigatran should be reserved for patients with a high risk of thrombosis in whom the target INR cannot be maintained on antivitamin K therapy alone. The risk of bleeding must be taken into account, renal function must be closely monitored, and patients and their carers must be correctly informed about this risk.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.023 |
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".