使用电子数据库对孟德尔随机化研究和随机对照试验进行系统比较.
Maria K Sobczyk1, Jie Zheng2,3,4, George Davey Smith2
1MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK maria.sobczyk@bristol.ac.uk.
BMJ open
|September 26, 2023
概括
用随机对照试验 (RCT) 三角化孟德尔随机化 (MR) 是有价值的,但由于数据缺口而具有挑战性. 自动化是有限的,需要仔细考虑研究设计因素以进行可靠的比较.
科学领域:
- 生物统计学 生物统计学
- 流行病学 流行病学
- 遗传学 遗传学 是一个
背景情况:
- 门德尔随机化 (MR) 和随机对照试验 (RCT) 是主要的流行病学方法.
- 不同的假设需要比较MR和RCT证据,以获得可靠的发现.
- 这些方法之间的三角分析为因果关系提供了独特的见解.
研究的目的:
- 评估MR和RCT证据之间半自动三角化的可行性.
- 确定从这些不同的研究设计中整合证据的挑战和机会.
- 为了扩大自动化数据链接和比较的潜力.
主要方法:
- 在临床试验.Gov,PubMed和EpigraphDB的文献搜索.
- 手动比较54个MR出版物与77个RCT出版物.
- 分析临床试验注册表和语义数据库中的数据覆盖范围.
主要成果:
- 在临床试验中,已完成的RCT的结果提交率较低 (13%) ClinicalTrials.Gov.
- 在SemMedDB中,来自MR (36%) 和RCT (12%) 的语义三重的覆盖范围有限.
- 由于注释的限制,对干预措施的自动匹配仅在药品方面是可行的.
结论:
- 三元化MR和RCT证据需要解决数据可用性和注释挑战.
- 成功的三角测量取决于表型,干预,种群和证据质量的对齐.
- 手动文献审查表明,如果克服技术障碍,三角测试的可能性很大.
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