A Phase IV Study of Thromboembolic and Bleeding Events Following Hip and Knee Arthroplasty Using Oral Factor Xa Inhibitor
Bibliographic record
Abstract
BACKGROUND: Multiple randomized controlled trials have documented the effectiveness of rivaroxaban in the prevention of venous thromboembolism up to 1-month following total joint arthroplasty. However, the effectiveness and safety of rivaroxaban in the real-world setting, outside of the strict protocols used by randomized clinical trials, are unknown. METHODS: This was a prospective, observational, noninterventional, phase IV study of 3914 consecutive patients who underwent total joint arthroplasty from June 2010 to December 2012. Patients were treated with rivaroxaban 10 mg by mouth daily starting postoperative day 1 and continued for 15 days. Participants were followed up in clinic at 6 weeks and contacted by telephone at 12 weeks. The primary outcome of interest was symptomatic venous thromboembolism; secondary outcomes included bleeding events, transfusion requirements, and death. RESULTS: The incidence of symptomatic deep venous thrombosis at 3 months was 0.5% (n = 18). Only 1 deep venous thrombosis event occurred within 7 days of surgery. The incidence of symptomatic pulmonary embolism (PE) at 3 months was 0.7% (n = 28). Thirteen PEs (46%) occurred within 7 days of surgery. The rate of major bleeding while on prophylaxis was 0.1%. Only 5% of patients received a blood transfusion. No deaths were attributed to thromboembolic events. CONCLUSION: This prospective, observational, phase IV study demonstrates that rivaroxaban appears to protect patients against symptomatic PE and is not associated with major bleeding events when used in a real-world setting as described.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".