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A Bayesian network meta‐analysis for acute thrombosis after lower extremity artery endovascular treatment by Lequn Teng; Yongbao Zhang; Jie Fang; Xinnong Liu; Tao Shi; Chengjia Qu; Jialiang Li; Chenyang Shen is a Medicine article available to read on EtoBox.

What is A Bayesian network meta‐analysis for acute thrombosis after lower extremity artery endovascular treatment about?

## Abstract ## Background Various endovascular treatment devices have been widely used in the lower extremity arterial disease (LEAD). Their patency efficiency for target lesions has been well studied and reported. Comparison of the risk of acute thrombosis events between the different endovascular treatment devices is unclear. ## Aims To rank the risk of acute thrombosis events when bare metal stents (BMSs), covered stents (CSs), drug‐eluting stents (DESs), drug‐coated balloons (DCBs), and conventional percutaneous transluminal balloon angioplasty (PTA) are used to treat LEAD through Bayesian network meta‐analysis. ## Methods We performed a network meta‐analysis of randomized controlled trials comparing the risk of 1‐year postoperative acute thrombosis between BMSs, CSs, DESs, DCBs, and PTA for treating LEAD. Bayesian random models were used for pooled endovascular treatment modality comparisons. We ranked these treatment modalities via the Bayesian method according to their surface under the cumulative ranking curve (SUCRA) and estimated probabilities. ## Results Nineteen studies (38 study arms; 2758 patients) were included. The Bayesian network ranking of treatments indicated th

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Author

Lequn Teng; Yongbao Zhang; Jie Fang; Xinnong Liu; Tao Shi; Chengjia Qu; Jialiang Li; Chenyang Shen

Publisher

Wiley

Published

2023

Field

Medicine (Health Sciences)