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Research Article | Open Access

Efficacy and safety of percutaneous patent foramen ovale closure devices for recurrent stroke: A systemic review and network meta- analysis

Hao NieYang Hu( )Zhouping Tang( )
Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
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Abstract

Background:

Randomized controlled trials (RCTs) that directly compare the efficacy and safety of percutaneous patent foramen ovale (PFO) closure devices have not been conducted. Thus, we performed a network meta-analysis to identify the efficacy and safety of occluder devices.

Methods:

From 1st January, 2000 to 1st May, 2018, we searched Embase, PubMed, and Cochrane Library for RCTs about percutaneous closure devices (such as STARFlex, GORE, and Amplatzer) and medical therapy for cryptogenic cerebral ischemic patients with PFO. The occurrence rate of recurrent stroke, atrial fibrillation (AF), major vascular complication (MVC), headache, transient ischemic attack, and bleeding were compared with the frequentist and Bayesian methods using R statistics.

Results:

We included 3747 patients from six RCTs. The GORE and Amplatzer occluders were found to be significantly associated with a decreased risk of recurrent stroke [relative risk (RR): 0.37 and 0.49; 95% confidence interval (CI): 0.17-0.81, 0.29-0.83, respectively]. Moreover, STARFlex was correlated to an increased risk of postoperative AF and MVCs (RR: 11.66 and 7.63; 95% CI: 4.87-21.91, 2.34-24.88).

Conclusions:

Among the three devices, the GORE and Amplatzer occluders are found to be the most effective in preventing secondary stroke in patients with PFO. Meanwhile, STARFlex is the least recommended device because it cannot decrease the risk of recurrent stroke and is the most likely to cause adverse events.

References

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Brain Science Advances
Pages 178-188

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Cite this article:
Nie H, Hu Y, Tang Z. Efficacy and safety of percutaneous patent foramen ovale closure devices for recurrent stroke: A systemic review and network meta- analysis. Brain Science Advances, 2019, 5(3): 178-188. https://doi.org/10.26599/BSA.2019.9050014

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Received: 05 July 2019
Revised: 20 August 2019
Accepted: 30 August 2019
Published: 17 April 2020
© The authors 2019

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage)