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孟德尔随机化研究方法在肿瘤学研究中的应用:文献计量分析

Application of Mendelian randomized research method in oncology research: bibliometric analysis.

作者信息

Chen Jiahao, Wang Yunli, Jiang Rongsheng, Qu Yawei, Li Yan, Zhang Yang

机构信息

College of Medical Information, Changchun University of Chinese Medicine, Changchun, China.

College of Acupuncture and Tuina, Changchun University of Chinese Medicine, Changchun, China.

出版信息

Front Oncol. 2024 Dec 17;14:1424812. doi: 10.3389/fonc.2024.1424812. eCollection 2024.

Abstract

BACKGROUND

Cancer has always been a difficult problem in the medical field, and with the gradual deepening of Genome-wide association studies (GWAS), Mendelian randomization methods have been increasingly used to study cancer pathogenesis. In this study, we examine the literature on Mendelian cancer, summarize the status of the research, and analyze the development trends in the field.

METHODS

Publications on "Mendelian Randomization - Cancer" were retrieved and downloaded from the Web of Science Core Collection database. CiteSpace 6.2.R4, VOSviewer 1.6.19, Scimago Graphica 1.0.38, Bibliometrix R-package, and a bibliometric online analysis platform were used for data analysis and visualization. An in-depth analysis of country or region, authors, journals, keywords, and references was performed to provide insights into the content related to the field.

RESULTS

A total of 836 articles were included in the analysis; 643 authors from 72 countries had published articles related to the field. China and Harvard University (among countries and institutions, respectively) had the highest number of articles. Martin, Richard M and Smith, George Davey were the largest contributors. A total of 27 cancers have been studied, with breast, colorectal, and liver cancers being the most studied.

CONCLUSION

This study is the first to use bibliometric methods to visualize the application of Mendelian randomization analysis in the field of cancer, revealing research trends and research frontiers in the field. This information will provide a strong reference for cancer researchers and epidemiologic researchers.

摘要

背景

癌症一直是医学领域的难题,随着全基因组关联研究(GWAS)的逐步深入,孟德尔随机化方法越来越多地用于研究癌症发病机制。在本研究中,我们查阅了有关孟德尔癌症的文献,总结了研究现状,并分析了该领域的发展趋势。

方法

从Web of Science核心合集数据库中检索并下载关于“孟德尔随机化 - 癌症”的出版物。使用CiteSpace 6.2.R4、VOSviewer 1.6.19、Scimago Graphica 1.0.38、Bibliometrix R包和一个文献计量在线分析平台进行数据分析和可视化。对国家或地区、作者、期刊、关键词和参考文献进行深入分析,以洞察该领域的相关内容。

结果

共纳入836篇文章进行分析;来自72个国家的643位作者发表了与该领域相关的文章。中国和哈佛大学(分别在国家和机构中)发表的文章数量最多。Martin, Richard M和Smith, George Davey是贡献最大的作者。共研究了27种癌症,其中乳腺癌、结直肠癌和肝癌的研究最多。

结论

本研究首次使用文献计量方法可视化孟德尔随机化分析在癌症领域的应用,揭示了该领域的研究趋势和研究前沿。这些信息将为癌症研究人员和流行病学研究人员提供有力参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4804/11685051/21a59ca87e42/fonc-14-1424812-g001.jpg

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