School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China.
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China.
Eur J Radiol. 2020 Aug;129:109133. doi: 10.1016/j.ejrad.2020.109133. Epub 2020 Jun 21.
While carotid atherosclerosis (CA) biomarkers are valuable surrogates for cardiovascular events, their inadequate utility is highlighted by clinical practice. We performed an interdisciplinary systematic review and bibliometric analysis to identify the knowledge gaps and offer directions for future research.
We applied a comprehensive search strategy to construct a representative dataset of the bibliographic records of CA from 1997 to 2018. A total of 31,793 retrieved articles and 407,473 cited references were included in the analysis. The co-word network and co-citation network were derived to describe the major disciplines and topics of CA research. Milestones detected by burst analysis were reviewed to delineate the evolutionary patterns and emerging trends of research on CA biomarkers.
CA is a multidisciplinary field of study which could be divided into 3 communities: the primary prevention of CVD, the secondary prevention of CVD and imaging techniques to characterize carotid atherosclerosis. The evolution of a CA biomarker may go through 3 stages: the conceptualization stage, the validation stage and the reclassification stage. Measurements that include different CA plaque features, rather than separately, have shown greater value for cardiovascular risk or clinical decision-making.
Although wide variability exists in the evolutionary stages of CA biomarkers, combined evaluation of CA plaque imaging features shows potential value to improve risk prediction and clinical decision-making for CVD prevention.
虽然颈动脉粥样硬化(CA)生物标志物是心血管事件的有价值的替代指标,但临床实践凸显了其应用的不足。我们进行了跨学科的系统评价和文献计量分析,以确定知识空白,并为未来的研究提供方向。
我们采用了全面的搜索策略,从 1997 年到 2018 年构建了一个具有代表性的 CA 文献数据集。分析中包括了 31793 篇检索文章和 407473 篇引用参考文献。共词网络和共被引网络被用来描述 CA 研究的主要学科和主题。通过突现分析检测到的里程碑被用来描述 CA 生物标志物研究的演变模式和新兴趋势。
CA 是一个多学科的研究领域,可以分为 3 个社区:CVD 的一级预防、CVD 的二级预防和用于描述颈动脉粥样硬化的成像技术。CA 生物标志物的演变可能经历 3 个阶段:概念化阶段、验证阶段和再分类阶段。综合评估不同的 CA 斑块特征,而不是单独评估,对于心血管风险或临床决策具有更大的价值。
尽管 CA 生物标志物的演变阶段存在很大的差异,但综合评估 CA 斑块成像特征显示出了改善 CVD 预防的风险预测和临床决策的潜力。