Remote ischaemic preconditioning for transcatheter aortic valve replacement: a protocol for a systematic review with meta-analysis and trial sequential analysis

被引:0
作者
Zhang, Weiyi [1 ]
Du, Li [2 ]
Chen, Guo [1 ]
Du, Bin [1 ]
Zhang, Lu [1 ]
Zheng, Jianqiao [1 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Anesthesiol, Chengdu, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Sichuan Canc Ctr, Dept Anesthesiol, Chengdu, Sichuan, Peoples R China
来源
BMJ OPEN | 2024年 / 14卷 / 04期
关键词
transcatheter aortic valve replacement; TAVR; transcatheter aortic valve implantation; TAVI; remote ischemic preconditioning; RIPC; meta-analysis; randomized controlled trial; INFLAMMATORY RESPONSE SYNDROME; ACC TVT REGISTRY; CEREBROVASCULAR EVENTS; INFORMATION SIZE; IMPLANTATION; RISK; BIAS; REGURGITATION; PROTECTS; PUBLICATION;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Transcatheter aortic valve replacement (TAVR) has become an important treatment in patients with aortic valve disease with the continuous advancement of technology and the improvement of outcomes. However, TAVR-related complications still increase patient morbidity and mortality. Remote ischaemic preconditioning (RIPC) is a simple procedure that provides perioperative protection for many vital organs. However, the efficiency of RIPC on TAVR remains unclear based on inconsistent conclusions from different clinical studies. Therefore, we will perform a protocol for a systematic review and meta-analysis to identify the efficiency of RIPC on TAVR.Methods and analysis English databases (PubMed, Web of Science, Ovid Medline, Embase and Cochrane Library), Chinese electronic databases (Wanfang Database, VIP Database and China National Knowledge Infrastructure) and trial registry databases will be searched from inception to December 2023 to identify randomised controlled trials of RIPC on TAVR. We will calculate mean differences or standardised mean differences with 95% CIs for continuous data, and the risk ratio (RR) with 95% CIs for dichotomous data by Review Manager version 5.4. Fixed-effects model or random-effects model will be used according to the degree of statistical heterogeneity assessed by the I-square test. We will evaluate the risk of bias using the Cochrane risk-of-bias tool 2 and assess the evidence quality of each outcome by the Grading of Recommendations Assessment, Development and Evaluation. The robustness of outcomes will be evaluated by trial sequential analysis. In addition, we will evaluate the publication bias of outcomes by Funnel plots and Egger's regression test.Ethics and dissemination Ethical approval was not required for this systematic review protocol. The results will be disseminated through peer-reviewed publications.PROSPERO registration number CRD42023462926
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