Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA; Yale School of Public Health, New Haven, CT, USA.
Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Glob Heart. 2018 Mar;13(1):3-12.e4. doi: 10.1016/j.gheart.2017.07.002. Epub 2017 Dec 13.
With the advent of international precision medicine initiatives, it is important to evaluate existing large-scale studies to inform future investigation. This study sought to review, describe, and evaluate all large-scale cardiovascular disease (CVD) studies completed in China. We undertook a review of all large-scale CVD studies completed in China to describe and evaluate their design, implementation, and dissemination in published medical reports. Seventeen studies met the inclusion criteria. There were substantial variations in study design, geographic location, and data collection. Most studies lacked standard study names, did not publish their methods, and provided no publicly available data. Few studies included underdeveloped regions or minority groups. Most published articles contained only descriptions of the average population at risk of CVD, and no study predicted individual CVD risk or identified people at high risk. Future CVD studies in China may need to incorporate stronger systematic data collection methods, increased data transparency, clearer documentation, and standard study names to most gain from China's burgeoning field of CVD research.
随着国际精准医学计划的出现,评估现有的大规模研究以为未来的研究提供信息非常重要。本研究旨在回顾、描述和评估中国完成的所有大规模心血管疾病 (CVD) 研究。我们对在中国完成的所有大规模 CVD 研究进行了审查,以描述和评估它们在已发表的医学报告中的设计、实施和传播情况。有 17 项研究符合纳入标准。研究设计、地理位置和数据收集存在很大差异。大多数研究缺乏标准的研究名称,没有公布方法,也没有提供公开可用的数据。很少有研究包括欠发达地区或少数民族群体。大多数已发表的文章仅描述了 CVD 高危人群的平均情况,没有研究预测个体 CVD 风险或确定高危人群。未来在中国进行 CVD 研究可能需要采用更强有力的系统数据收集方法、提高数据透明度、更清晰的文档记录和标准的研究名称,以最大程度地受益于中国蓬勃发展的 CVD 研究领域。