Long-term evaluation of dabigatran 150 vs. 110 mg twice a day in patients with non-valvular atrial fibrillation
Bibliographic record
Abstract
AIMS: The Randomized Evaluation of Long-Term Anticoagulation Therapy (RE-LY) trial allowed patients who completed the trial receiving their assigned dabigatran 150 mg (D150) or 110 mg (D110) twice a day to continue into the Long-term Multicenter Extension of Dabigatran Treatment in Patients with Atrial Fibrillation (RELY-ABLE) trial. This permitted assessment of outcomes over a median of 4.6 and a maximum of 6.7 years, respectively. METHODS AND RESULTS: The analysed population included only those patients who completed RE-LY on dabigatran and continued into RELY-ABLE without interruption of assigned dabigatran. Cumulative risk was expressed as Kaplan-Meier plots. Outcomes were compared using Cox proportional hazard modelling. Stroke or systemic embolization rates were 1.25 and 1.54% per year (D150 and D110, respectively); hazard ratio (HR) 0.81 [95% confidence interval (CI): 0.68-0.96] (P = 0.02). Ischaemic stroke was 1.03 (D150) and 1.29%/year (D110); HR 0.79 (95% CI: 0.66-0.95) (P = 0.01). Haemorrhagic stroke rates were 0.11 (D150) and 0.13%/year (D110); HR 0.91 (95% CI: 0.51-1.62) (P = 0.75). Rates of major haemorrhage were 3.34 (D150) and 2.76%/year (D110); HR 1.22 (95% CI: 1.08-1.37) (P = 0.0008). Intracranial haemorrhage rates were 0.32 (D150) and 0.23%/year (D110); HR 1.37 (95% CI: 0.93-2.01) (P = 0.11). Mortality was 3.43 (D150) and 3.55%/year (D110); HR 0.97 (95% CI: 0.87-1.08) (P = 0.54). CONCLUSION: Annualized rates of all outcomes were constant with better efficacy of D150, less major bleeding with D110, and low intracerebral haemorrhage rates for both doses. There were no additional safety concerns. This is the longest continuous randomized experience of a novel anticoagulant.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".