Patient-reported treatment satisfaction and budget impact with rivaroxaban vs. standard therapy in elective cardioversion of atrial fibrillation: a<i>post hoc</i>analysis of the X-VeRT trial
Bibliographic record
Abstract
AIMS: We compared patient-reported treatment satisfaction and the economic impact of anticoagulation therapy with rivaroxaban vs. vitamin K antagonists (VKAs) in patients with non-valvular atrial fibrillation undergoing elective cardioversion procedures. METHODS AND RESULTS: The current study is a post hoc analysis of the prospective, multicentre X-VeRT (EXplore the efficacy and safety of once-daily oral riVaroxaban for the prevention of caRdiovascular events in subjects with non-valvular aTrial fibrillation scheduled for cardioversion) trial. Patient-reported treatment satisfaction with anticoagulation therapy was assessed using the Treatment Satisfaction Questionnaire for Medication version II in seven countries (US, UK, Canada, Germany, France, Italy, and the Netherlands). An economic model was also developed to estimate the impact of postponed cardioversions for two countries (UK and Italy). This model estimated the total costs of cardioversion, taking into consideration the costs for drug therapy (including extended treatment duration due to cardioversion postponement), international normalized ratio monitoring of VKAs, the cardioversion procedure, and rescheduling the procedure. These costs were linked to the respective X-VeRT study data to estimate the total costs. Patients receiving rivaroxaban in the delayed cardioversion group had significantly higher scores for Convenience, Effectiveness, and Global satisfaction (81.74 vs. 65.78; 39.41 vs. 32.95; and 82.07 vs. 66.74, respectively; P < 0.0001). Based on the total patient population included in the treatment satisfaction substudy (n = 632) in the delayed cardioversion group in X-VeRT, the use of rivaroxaban was estimated to result in a saving of £421 and €360 per patient in UK and Italian settings, respectively. CONCLUSION: The use of rivaroxaban in the setting of cardioversion resulted in greater patient satisfaction and cost savings, compared with that of VKA.
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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 | 0.016 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.011 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".