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医疗大数据时代下的Meta分析

Meta-analysis in the era of medical big data

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【作者】 王永久余之刚刘丽媛

【Author】 Wang Yongjiu;Yu Zhigang;Liu Liyuan;Department of Breast Surgery, the Second Hospital of Shandong University;Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University;

【通讯作者】 刘丽媛;

【机构】 山东大学第二医院乳腺外科山东大学乳腺疾病防治转化医学研究所

【摘要】 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。

【Abstract】 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.

【关键词】 大数据Meta分析写作方法
【Key words】 Big dataMeta-analysisWriting method
  • 【文献出处】 中华临床医师杂志(电子版) ,Chinese Journal of Clinicians(Electronic Edition) , 编辑部邮箱 ,2020年05期
  • 【分类号】R-03;R-05
  • 【被引频次】2
  • 【下载频次】323
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