探索疾病因果关系的门德尔随机化的兴起:基于CiteSpace的文献统计分析
Kunyang He1,2, Xiaochu Wu3, Zhengyu Qian1,2
1School of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan Province, China.
Medicine
|August 13, 2025
概括
这种图书统计分析揭示了20年来孟德尔随机化 (MR) 研究的显著增长. 关键领域包括心血管和代谢疾病,睡眠呼吸暂停和精神疾病的新兴趋势.
科学领域:
- 流行病学和遗传学
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 门德尔随机化 (MR) 使用遗传变异作为工具变量来推断暴露和结果之间的因果关系.
- 尽管MR出版物激增,但全面的文献计量分析很少.
- 本研究通过分析过去二十年来MR研究趋势来弥补这一差距.
研究的目的:
- 对2003年至2023年间发表的孟德尔随机化 (MR) 文章进行文献分析.
- 阐明当前的研究格局,并确定MR领域的新兴前沿.
- 为未来的因果推理研究方向提供见解,使用遗传数据.
主要方法:
- 在Web of Science核心集合中进行了系统的搜索,从2003年到2023年进行了与MR相关的文章.
- 分析了包括出版量,关键词,期刊,国家,机构,作者和引用网络在内的文献计量指标.
- 使用CiteSpace 6.1.R6和微软Excel进行数据分析和可视化.
主要成果:
- 在2003年至2023年期间,共发表了7801篇MR文章,年增长迅速.
- "国际流行病学杂志"是最多产的期刊,英国在出版物方面处于领先地位.
- 主要研究领域包括心血管疾病,代谢疾病和阿尔茨海默病,最近的重点是睡眠呼吸暂停和精神疾病.
结论:
- 本文献分析提供了对2003年至2023年的MR研究格局的全面概述.
- 这些发现突出了既有和新兴的研究领域,为未来因果推理研究提供了宝贵的指导.
- 了解这些趋势对于推进孟德尔随机化方法的应用和开发至关重要.
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