Direct Oral Anticoagulants Versus Vitamin K Antagonists in Cerebral Venous Thrombosis: A Systematic Review and Meta-Analysis of 4,929 Patients

直接口服抗凝剂与维生素K拮抗剂治疗脑静脉血栓形成:一项纳入4929例患者的系统评价和荟萃分析

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Abstract

BackgroundCerebral venous thrombosis (CVT), a rare cause of stroke, primarily occurs in young individuals. The established treatment regimen involves anticoagulation with low molecular weight heparin (LMWH) and vitamin K antagonists (VKA). Although direct oral anticoagulants (DOACs) have emerged as a promising alternative, their efficacy and safety remain unclear. This meta-analysis compared the efficacy and safety of DOACs versus VKA in managing CVT.MethodsElectronic databases, including PubMed, Cochrane Library, and ScienceDirect, were searched from inception until April 2025. Risk ratios (RR) with a 95% Confidence interval (CI) were pooled under the random effects model in the Review Manager 5.4.1. Quality assessment was done through the Cochrane risk of bias (RoB 2.0) tool and the Newcastle Ottawa Scale (NOS). Subgroup analyses based on study design and different types of DOACs were carried out.ResultsThirty-one studies, including five randomized controlled trials (RCTs) and 26 observational studies, were included in this meta-analysis. Our analysis showed a significant reduction in the risk of recurrent venous thromboembolism (VTE) in the DOACs arm compared to VKA (RR = 0.84; 95%CI: [0.71,0.99]; p = 0.04; I(2) = 0%). Similarly, the DOACs showed significant superiority over VKA regarding the intracranial hemorrhage (ICH) (RR = 0.67; 95%CI: [0.50,0.89]; p = 0.007; I(2) = 0%). Other endpoints, including major hemorrhage (RR = 0.70; 95%CI:[0.42,1.15]; p = 0.16; I(2) = 0%), all-cause mortality (RR = 0.96; 95%CI:[0.68,1.35]; p = 0.81; I(2) = 0%), and full recanalization (RR = 0.92; 95%CI:[0.82,1.03]; p = 0.16; I(2) = 21%), are comparable between the two arms.ConclusionDOACs showed a significant reduction in the risk of recurrent VTE and ICH compared to VKA, whereas other endpoints are comparable. Further RCTs with a robust sample size are required to validate and confirm these findings.

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