对近十年左主干血运重建meta分析的批判性评价

C. Antonides
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引用次数: 0

摘要

背景:确定左主干冠状动脉疾病(LMCAD)患者的最佳血运重建策略是一个引人注目的话题。在两项新试验发表后,文献中出现了许多关于经皮冠状动脉介入治疗(PCI)与冠状动脉旁路移植术(CABG)的荟萃分析。本研究旨在回顾已发表的LMCAD PCI与CABG meta分析的范围,并规定“质量高于数量”的必要性。方法:系统检索Embase、Medline Ovid和Cochrane数据库,对LMCAD患者进行PCI与CABG的meta分析。荟萃分析报告了血运重建与临床结果之间的关联。根据描述性统计报告研究结果,没有汇总研究结果。结果:纳入51项荟萃分析。其中,有33个在EXCEL和NOBLE试用后可用。41例报告了主要心脏(和脑血管)不良事件的复合,49例报告了全因死亡。meta分析的结果不同,取决于(i)随机数据与观察数据,或两者的结合,(ii)报告治疗差异的方法和效果测量,(iii)不同的样本量,以及(iv)发表年份。结论:LMCAD患者PCI与CABG的meta分析数量不成比例,强调质量大于数量。为了确保未来的高质量出版物,我们呼吁所有作者、编辑和审稿人评估现有的证据,并联合起来进行个体患者数据汇总分析。
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A Critical Appraisal of a Decade of Left-Main Revascularization Meta-Analyses
Background: Determining the optimal revascularization strategy for patients with left main coronary artery disease (LMCAD) is a compelling topic. After the publication of two new trials, numerous meta-analyses on percutaneous coronary intervention (PCI) versus coronary artery bypass grafting (CABG) appeared in the literature. This study set out to review the extent of published meta-analyses on PCI versus CABG in LMCAD, and stipulates the need for “quality over quantity”. Methods: A systematic search in Embase, Medline Ovid and Cochrane databases was performed to identify meta-analyses on PCI versus CABG in LMCAD. Meta-analyses that reported associations between revascularization and clinical outcomes were included. Study outcomes were reported according to descriptive statistics, without pooling study outcomes. Results: Fifty-one meta-analyses were included. Of those, 33 became available after EXCEL and NOBLE trial publication. The composite of major adverse cardiac (and cerebrovascular) events were reported in 41, and 49 reported all-cause mortality. Results varied among meta-analyses, depending on (i) randomized versus observational data, or a combination of both, (ii) methodology and effect-measures to report treatment-differences, (iii) varying sample sizes, and (iv) the year of publication. Conclusions: The number of meta-analyses on PCI versus CABG in patients with LMCAD, is disproportionate and urges the need for quality over quantity. To ensure future high-quality publications, we call on all authors, editors and reviewers to appraise the evidence already available and join forces to conduct individual patient data pooled analyses instead.
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