Direct oral anticoagulants compared with vitamin K antagonists for acute venous thromboembolism: evidence from phase 3 trials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the last 4 years, 6 phase 3 trials including a total of 27,023 patients with venous thromboembolism (VTE) compared a direct oral anticoagulant (DOAC) with vitamin K antagonists (VKAs). To aid the clinician in assessing the amount of information, we address frequently raised clinical questions in a review of combined trial results. We included the phase 3 trials that compared dabigatran etexilate, rivaroxaban, apixaban, or edoxaban with VKA therapy in patients with acute symptomatic VTE. Recurrent VTE occurred in 2.0% of DOAC recipients compared with 2.2% in VKA recipients (relative risk [RR] 0.90, 95% confidence interval [CI] 0.77-1.06). Treatment with a DOAC significantly reduced the risk of major bleeding (RR 0.61, 95% CI 0.45-0.83). In parallel, intracranial bleeding, fatal bleeding, and clinically relevant nonmajor bleeding occurred significantly less in DOAC recipients. The efficacy and safety of DOACs were consistent in patients with pulmonary embolism, deep venous thrombosis, a body weight ≥100 kg, moderate renal insufficiency, an age ≥75 years, and cancer. In conclusion, DOACs and VKAs have similar efficacy in the treatment of acute symptomatic VTE, a finding that is consistent in key clinical subgroups. Treatment with a DOAC significantly reduces the risks of major bleeding.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it