Safety and Efficacy of Direct Oral Anticoagulants in Patients with Liver Cirrhosis: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Introduction Direct oral anticoagulants (DOACs) are widely used for treatment of venous thromboembolism (VTE) and stroke prophylaxis in patients with atrial fibrillation. Liver cirrhosis increases the risk of conditions necessitating anticoagulation, but also increases the risk of bleeding, complicating anticoagulation use. Traditionally, low molecular weight heparin (LMWH) or Vitamin K Antagonists (VKA) have been used in this patient population. However, VKA use can be complicated due to difficulty monitoring in the context of synthetic dysfunction and baseline INR abnormalities. DOACs have emerged as alternative agents, with less proposed reliance on hepatic elimination. Apixaban, rivaroxaban, edoxaban and dabigatran are eliminated by the liver at 75%, 65%, 50% and 20% respectively. However, safety data on DOACs in cirrhosis patients is limited due to historic exclusion from larger trials. Patients with severe Child-Pugh (CP) classes are notably underrepresented in major trials. Various guidelines currently classify CP class C (and sometimes B) as contraindications to DOACs. Methods A literature search of MEDLINE and Embase from inception to Jan 2023 identified randomized controlled trials (RCTs) and cohort studies comparing DOACs to LMWH/VKA in cirrhosis patients. Two independent reviewers screened and extracted data at title, abstract, and full-text. Patient characteristics, CP class, and anticoagulation regimens were extracted. The primary outcome was major bleeding per ISTH criteria. Secondary outcomes include clinically relevant non-major bleeding (CRNMB) and minor bleeding per ISTH criteria as a composite outcome, VTE incidence, and arterial thromboembolism (ATE) incidence. Results were stratified into two subgroups: CP B&C Exclusive, and CP Unspecified (primary study did not report or stratify by CP class). A meta-analysis was conducted using the Mantel-Haenszel random-effects model and presented as odds ratios (OR) with corresponding 95% confidence intervals (CI). Results Of 794 articles screened, 21 articles (2 RCTs, 1 prospective cohort, 13 retrospective cohorts, 5 abstracts) were included for analysis (n = 5738). Overall, DOACs were associated with a lower risk of major bleeding compared to controls (OR=0.63 [0.45, 0.89], p<0.01). This result was consistent in the CP B&C Exclusive subgroup (OR=0.42 [0.29, 0.62], p<0.01, 5 studies) but not in the CP Unspecified subgroup (OR=0.71 [0.48, 1.08], p=0.11, 13 studies). One large study (n=3213), Lawal 2023, weighed 20.1% in the CP B&C Exclusive group, favoured DOACs in reduction of major bleeding (OR=0.37, 95%CI [0.24,0.57]). Removal of this study in a post-hoc sensitivity analysis led to no differences in major bleeding in the CP B&C subgroup (OR=0.79, 95%CI [0.31,1.97]), CP Unspecified subgroup (OR=0.71, 95%CI [0.48,1.08]), or overall bleeding (OR=0.75, 95%CI [0.55,1.03]). For CRNMB and minor bleeding, DOACs did not differ from control overall or in any subgroups. DOACs significantly reduced the risk of VTE in the CP Unspecified subgroup and overall. The difference in VTE incidence was non-significant in the CP B&C Exclusive subgroup, however the analysis only had two studies. The difference in ATE incidence in the overall sample and all subgroups was non-significant. Conclusion In this analysis comparing DOACs to LMWH/VKAs in patients with liver cirrhosis, DOACs were associated with a statistically significant reduction in the risk of major bleeding overall and in the more advanced subgroups (CP B&C). The association between DOACs and the risk of CRNMB and minor bleeding was non-significant. Patients using DOACs had lower VTE incidence compared to those using LMWH/VKA, with no difference in ATE incidence. Limitations include the inability to stratify CP class B and C due to limited CP class C evidence, reducing confidence in our ability to differentiate a differing effect in these two groups. Furthermore, a single large study (Lawal 2023), heavily influenced the major bleeding outcome; its removal shifted the conclusion from favouring DOACs to non-significant differences. Nevertheless, these results provide reassurance on the safety profile of DOACs in comparison to LMWH/VKA in patients with cirrhosis, particularly in those with moderate to severe liver cirrhosis, a population of clinical uncertainty. There is no concerning evidence for future trials, which are much needed, to include this population.
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.
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 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.027 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".