Rivaroxaban to prevent major clinical outcomes in non-hospitalised patients with COVID-19: the CARE – COALITION VIII randomised clinical trial
Bibliographic record
Abstract
Background: COVID-19 progression is associated with an increased risk of arterial and venous thrombosis. Randomised trials have demonstrated that anticoagulants reduce the risk of thromboembolism in hospitalised patients with COVID-19, but a benefit of routine anticoagulation has not been demonstrated in the outpatient setting. Methods: We conducted a randomised, open-label, controlled, multicentre study, evaluating the use of rivaroxaban in mild or moderate COVID-19 patients. Adults ≥18 years old, with probable or confirmed SARS-CoV-2 infection, presenting within ≤7 days from symptom onset with no clear indication for hospitalization, plus at least 2 risk factors for complication, were randomised 1:1 either to rivaroxaban 10 mg OD for 14 days or to routine care. The primary efficacy endpoint was the composite of venous thromboembolic events, need of mechanical ventilation, acute myocardial infarction, stroke, acute limb ischemia, or death due to COVID-19 during the first 30 days. ClinicalTrials.gov: NCT04757857. Findings: Enrollment was prematurely stopped due to sustained reduction in new COVID-19 cases. From September 29th, 2020, through May 23rd, 2022, 660 patients were randomised (median age 61 [Q1-Q3 47-69], 55.7% women). There was no significant difference between rivaroxaban and control in the primary efficacy endpoint (4.3% [14/327] vs 5.8% [19/330], RR 0.74; 95% CI: 0.38-1.46). There was no major bleeding in the control group and 1 in the rivaroxaban group. Interpretation: On light of these findings no decision can be made about the utility of rivaroxaban to improve outcomes in outpatients with COVID-19. Metanalyses data provide no evidence of a benefit of anticoagulant prophylaxis in outpatients with COVID-19. These findings were the result of an underpowered study, therefore should be interpreted with caution. Funding: COALITION COVID-19 Brazil and Bayer S.A.
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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 | 0.017 | 0.410 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".