门德尔随机化在癌症研究中的应用:一个图书统计分析
1Department of General Surgery, Suzhou Hospital of Anhui Medical University, Suzhou, 234000, Anhui Province, China.
Discover oncology
|April 4, 2025
概括
门德尔随机化 (MR) 是了解癌症原因的强大工具. 这项研究分析了20年的MR研究,揭示了癌症因果推断的增长趋势,关键贡献者和未来方向.
科学领域:
- 在瘤学瘤学.
- 遗传学 遗传学 是一个
- 流行病学 流行病学
背景情况:
- 癌症给全球健康和经济带来了重大挑战.
- 建立风险因素和癌症之间的因果关系是复杂的.
- 门德尔随机化 (MR) 提供了一个强大的方法来推断癌症研究中的因果关系.
研究的目的:
- 进行孟德尔随机化在癌症研究中的应用的文献分析.
- 评估瘤学中MR的历史发展,当前趋势和未来方向.
主要方法:
- 从Web of Science核心集合 (2005-2024) 中对2058篇文章进行了图书统计分析.
- 提取有关国家,作者,机构,关键词和期刊的数据.
- 使用VOSviewer,CiteSpace和R语言进行分析.
主要成果:
- 从2005年到2024年,MR癌症研究出版物的持续增长趋势.
- 中国在出版物方面领先;布里斯托大学在机构方面领先;乔治·戴维·史密斯在作者方面领先.
- 关键的研究热点包括慢性病,炎症和与癌症有关的性激素.
结论:
- 门德尔的随机化对癌症病因学研究越来越重要.
- 未来的进步在于统计方法的优化,数据的扩展和跨学科的整合.
- 本文献计量分析提供了对MR在促进癌症研究中的作用的全面概述.
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