ArticleJournal of thrombosis and thrombolysis2019
Bleeding rates of Veterans taking apixaban or rivaroxaban for atrial fibrillation or venous thromboembolism.
Article in Journal of thrombosis and thrombolysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Systematic review and meta-analysis of the efficacy and safety of apixaban compared to rivaroxaban in acute VTE in the real world.Blood advances · 2019Pooled it
- Risk of Major Bleeding Associated with Concomitant Direct-Acting Oral Anticoagulant and Clopidogrel Use: A Retrospective Cohort Study.Drug safety · 2024Article
- Anti-Inflammatory Treatment of COVID-19 Pneumonia With Tofacitinib Alone or in Combination With Dexamethasone is Safe and Possibly Superior to Dexamethasone as a Single Agent in a Predominantly African American Cohort.Mayo Clinic proceedings. Innovations, quality & outcomes · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examined potential differences in bleeding between apixaban and rivaroxaban, the most commonly utilized direct oral anticoagulants at the Richard L. Roudebush VA Medical Center. Additionally, the analysis included a comparison between observed and literature-reported bleeding rates. This retrospective chart review examined 452 (39%) Veterans receiving rivaroxaban and 716 (61%) Veterans receiving apixaban. Bleeding rates were expressed per 100 patient-years and the overall rates were analyzed as the primary analysis. Secondary objectives included comparisons based on indication and severity, as well as comparisons to literature-reported bleed rates, time to bleeding event, and location of the bleed. The analysis did not detect any statistically significant differences between apixaban and rivaroxaban in terms of overall, (ARR 0.90% per 100 patient-years, 95% CI - 0.58 to 2.38%, p > 0.05) major, (ARR 0.22% per 100 patient-years, 95% CI - 0.74 to 1.17%, p > 0.05) or non-major clinically relevant (ARR 0.35% per 100 patient-years, 95% CI - 0.57 to 1.27%, p > 0.05) bleeding. Observed bleeding for both rivaroxaban and apixaban in the Veteran population exceeded the rates reported by the literature when used for atrial fibrillation (1.96% vs. 0.15%, p < 0.05; 1.08% vs. 0.16%, p < 0.05) but the opposite was seen for long term venous thromboembolism (VTE) treatment (3.97% vs. 8.03%, p < 0.0001; 0.14% vs. 15.51%, p < 0.0001) or extended VTE prophylaxis (0.07% vs 5.98%, p < 0.0001; 0.07% vs 1.88%, p < 0.01). Results from this study suggest these agents impart similar levels of risk, but variations in bleeding risk between the Veteran population and the patients in the original clinical trials may exist.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.