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中华临床医师杂志(电子版) ›› 2020, Vol. 14 ›› Issue (05) : 359 -363. doi: 10.3877/cma.j.issn.1674-0785.2020.05.008

所属专题: 文献

循证医学

医疗大数据时代下的Meta分析
王永久1, 余之刚1, 刘丽媛1,()   
  1. 1. 250033 济南,山东大学第二医院乳腺外科;250033 济南,山东大学乳腺疾病防治转化医学研究所
  • 收稿日期:2020-03-31 出版日期:2020-05-15
  • 通信作者: 刘丽媛

Meta-analysis in the era of medical big data

Yongjiu Wang1, Zhigang Yu1, Liyuan Liu1,()   

  1. 1. Department of Breast Surgery, the Second Hospital of Shandong University, Jinan 250033, China; Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan 250033, China
  • Received:2020-03-31 Published:2020-05-15
  • Corresponding author: Liyuan Liu
  • About author:
    Corresponding author: Liu Liyuan, Email:
引用本文:

王永久, 余之刚, 刘丽媛. 医疗大数据时代下的Meta分析[J/OL]. 中华临床医师杂志(电子版), 2020, 14(05): 359-363.

Yongjiu Wang, Zhigang Yu, Liyuan Liu. Meta-analysis in the era of medical big data[J/OL]. Chinese Journal of Clinicians(Electronic Edition), 2020, 14(05): 359-363.

循证医学在大数据时代迎来了绝佳的发展机遇。Meta分析作为循证医学的高级别证据,其写作方法应为临床医师熟练掌握。完成一篇高质量的Meta分析需要全面了解其方法流程,根据研究的临床问题选择合适的分析类型,从构建临床问题到数据分析撰写,皆需遵循国际通用的规范和指南要求。精准选题,严守规范,用心琢磨,方能为临床决策提供高级别的医学证据。

In the era of big data, evidence-based medicine encounters a great opportunity to develop. Since Meta-analysis can provide high-level evidence for evidence-based medicine, clinicians should be proficient in the writing of Meta-analysis articles. There is a large amount of Meta-analysis literature published worldwide; however, completing a high-quality Meta-analysis requires a comprehensive understanding of its methodological process, and an appropriate Meta-analysis type should be selected according to the clinical problems in the study. From the proposal of clinical problems to the writing of a Meta-analysis article, international standards and guidelines should be followed. Accurate topic selection, strict adherence to norms, and careful consideration can provide high-level medical evidence for clinical decision-making.

图1 近10年Meta分析文献发表数量的柱状图
图2 近10年Meta分析文献涉及研究领域的柱状图
图3 近10年发表Meta分析数量国家分布的柱形图
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