癌症出版物使用来自台湾国家医疗保险研究数据库的真实数据:概念框架和文献计量分析
Wing Hin Stanford Siu1,2, Ai Yin Lim3, Jia-Rou Liu4
1School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan, ROC.
Journal of the Chinese Medical Association : JCMA
|March 17, 2025
概括
这项研究引入了癌症研究的文献计量分析的新框架,结合了研究设计和疾病因素. 对现实数据的分析揭示了癌症研究主题和方法的趋势.
科学领域:
- 图书统计学 图书统计学
- 癌症研究 癌症研究
- 现实世界的数据分析.
背景情况:
- 传统的文献计量分析往往省略了研究特定的关键细节,如目标,设计和统计方法.
- 本研究解决了这一差距,提出了癌症文章文献识别的新概念框架.
- 该框架整合了基于研究和基于疾病的组件,以便进行更全面的分析.
研究的目的:
- 开发和验证使用现实数据进行癌症研究的文献识别分析的概念框架.
- 在癌症文章中调查基于研究和基于疾病的组件的分布和时间趋势.
- 为了提供一个更细致的了解癌症研究进化.
主要方法:
- 从癌症产品中提取并交叉验证基于研究 (目标,设计,统计) 和基于疾病的组件.
- 利用台湾国家医疗保险研究数据库 (NHIRD) 来获取跨越2006-2022年的数据.
- 分析了出版趋势,常见的研究主题,研究设计,统计方法和癌症部位.
主要成果:
- 从2011年开始,每年癌症出版物数量显著增加.
- 癌症风险因素 (52%) 是研究最多的主题,其次是结果 (36%).
- 队列研究占主导地位 (85%),倾向性得分方法使用率稳步上升 (2011-2022年从2.4%到40%). 乳腺癌,肝胆癌和结肠直肠癌经常被研究.
结论:
- 图书统计分析应包含基于研究和基于疾病的组成部分,以充分了解研究趋势.
- 拟议的框架加强了癌症研究中对现实世界的数据的分析.
- 该框架的原则适用于癌症研究以外的文献计量研究.
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