UMC Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands.
Amsterdam UMC locatie VUmc, Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Eur J Epidemiol. 2022 Jul;37(7):655-669. doi: 10.1007/s10654-021-00799-5. Epub 2021 Aug 22.
The causal effects of alcohol-in-moderation on cardiometabolic health are continuously debated. Mendelian randomization (MR) is an established method to address causal questions in observational studies. We performed a systematic review of the current evidence from MR studies on the association between alcohol consumption and cardiometabolic diseases, all-cause mortality and cardiovascular risk factors. We performed a systematic search of the literature, including search terms on type of design and exposure. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. We additionally looked at exploration of non-linearity. We reported the direction of the studied associations. Our search yielded 24 studies that were eligible for inclusion. A full instrumental variable analysis was performed in 17 studies (71%) and 13 out of 24 studies (54%) validated all three key assumptions. Five studies (21%) assessed potential non-linearity. In general, null associations were reported for genetically predicted alcohol consumption with the primary outcomes cardiovascular disease (67%) and diabetes (75%), while the only study on all-cause mortality reported a detrimental association. Considering the heterogeneity in methodological quality of the included MR studies, it is not yet possible to draw conclusions on the causal role of moderate alcohol consumption on cardiometabolic health. As MR is a rapidly evolving field, we expect that future MR studies, especially with recent developments regarding instrument selection and non-linearity methodology, will further substantiate this discussion.
关于适量饮酒对心血管代谢健康的因果影响仍存在争议。孟德尔随机化(MR)是一种在观察性研究中解决因果问题的成熟方法。我们对目前关于饮酒与心血管代谢疾病、全因死亡率和心血管风险因素之间关联的 MR 研究的证据进行了系统回顾。我们系统地搜索了文献,包括关于设计类型和暴露的搜索词。我们根据 MR 设计的关键要素评估方法学质量:是否使用完整的工具变量分析以及是否验证了三个关键的 MR 假设。我们还研究了非线性的可能性。我们报告了所研究关联的方向。我们的搜索产生了 24 项符合纳入标准的研究。17 项研究(71%)进行了完整的工具变量分析,24 项研究中有 13 项(54%)验证了所有三个关键假设。5 项研究(21%)评估了潜在的非线性。一般来说,遗传预测的饮酒量与主要结局(心血管疾病 67%和糖尿病 75%)之间的关联呈阴性,而唯一一项关于全因死亡率的研究报告了有害关联。考虑到纳入的 MR 研究在方法学质量方面存在异质性,目前还不可能确定适量饮酒对心血管代谢健康的因果作用。由于 MR 是一个快速发展的领域,我们预计未来的 MR 研究,特别是关于工具选择和非线性方法学的最新进展,将进一步证实这一讨论。