在瘤学中进行和报告随机效应元分析的适当性
Jinma Ren1, Jia Ma2, Joseph C Cappelleri2
1Statistical Research & Data Science Center, Pfizer Inc, Collegeville, Pennsylvania, USA.
Research synthesis methods
|January 14, 2024
概括
许多瘤学元分析仍然使用过时的DerSimonian-Laird (DL) 估计器,尽管它的偏见已知. 研究人员建议采用更准确的随机效应模型,以提高异质研究聚合的精度.
科学领域:
- 生物统计学 生物统计学
- 医学研究方法学 医学研究方法学
- 在瘤学瘤学.
背景情况:
- 随机效应模型对于具有研究异质性的元分析至关重要.
- 广泛用于组合异质研究的DerSimonian-Laird (DL) 估计器已被证明产生了偏差的估计和过于精确的置信区间.
- 自2014年以来,建议使用提供更准确可信度值的替代方法.
研究的目的:
- 评估瘤学期刊中随机效应元分析方法的报告和使用情况.
- 为了突出持续依赖DerSimonian-Laird (DL) 估计器,尽管建议提供替代方案.
主要方法:
- 在2015-2022年期间发表在顶级瘤学专用期刊上的元分析的审查.
- 对随机效应元分析报告的方法的分析,特别注意DerSimonian-Laird (DL) 估计器的使用.
主要成果:
- 超过一半 (55.7%) 的审查瘤学元分析未能报告随机效应分析的详细方法.
- 在报告方法的研究中,DerSimonian-Laird (DL) 估计器仍然是主要使用的方法.
- 这表明在采用推的,更准确的元分析技术方面存在很大的差距.
结论:
- 在瘤学研究中,急需改进报告和应用可靠的随机效应元分析方法.
- 期刊,包括研究合成方法和内科医学年鉴,应继续推广关于异质性处理的文章.
- 呼吁在瘤学和其他医学研究领域更广泛地采用替代,更精确的随机效应估计器.
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