如何获取与验证生存曲线中生存数据进行Meta分析

Accessibility and validation of survival data in survival curve for meta-analysis

危险比(hazard ratio,HR)作为生存研究的效应指标,是生存资料Meta分析最适宜进行合并分析的效应量,但常因原始研究未直接报道或缺乏而难以获取。目前可采用从原始研究的生存曲线图上截取生存率等数据,并将其与随访时间等信息输入Excel进行转换来获得HR及95%CI的数据。然而,目前国内对相关换算过程的报道较少,且换算的细节未达成一致。本文旨在对如何获取验证生存曲线中的生存数据进行探讨,以期为进行生存数据Meta分析的研究者提供合理的生存数据获取方法。

Hazard ratio (HR) is usually regarded as the effect size in survival studies.Meanwhile,it is supposed to be perfect for pooling results in the meta-analysis of survival data.However,it does not function usually due to absence of original data for pooling HR.As a compromise method,entering data from reading Kaplan-Meier curves and follow-up times into the calculation spreadsheet can also be used to obtain related survival data.But related study on the subject is scarce,and opinions are inconsistent.Accordingly,we conduct this study to further illustrate the procedure in details.