范畴变量
人气
荟萃分析
系统回顾
可靠性(半导体)
计算机科学
过程(计算)
叙述性评论
质量(理念)
数据科学
医学
梅德林
心理学
病理
生物
机器学习
重症监护医学
功率(物理)
物理
量子力学
操作系统
社会心理学
生物化学
哲学
认识论
作者
Brandon Michael Henry,Krzysztof A. Tomaszewski,Jerzy Walocha
标识
DOI:10.1016/j.aanat.2015.12.002
摘要
Evidence-Based Anatomy (EBA) is the concept of applying evidence-based principles and research methods to the anatomical sciences. While narrative reviews are common in the anatomical sciences, true systematic reviews (SR) and meta-analysis (MA) are only beginning to grow in popularity. In order to enhance the quality of future EBA studies, and ensure the clinical reliability of their results, a uniform methodology is needed. In this paper, we present a step-by-step methodological guide for performing SRs and MAs of anatomical studies. We address the EBA-specific challenges in each step of the SR and MA process, and discuss methods and strategies to overcome these difficulties. Furthermore, we discuss in detail the statistical methods used in MA of anatomical data, including multi-categorical and single-categorical pooled prevalence estimates, as well as pooled means of one group. Lastly, we discuss the major limitations of EBA, including the lack of a proper quality assessment tool for anatomical studies. The methods described in this paper present a uniform road map for future EBA studies.
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