Centre d'Investigation Clinique 201, Epidemiologie Pharmacologie Investigation Clinique Information Medicale Mere Enfant, Université Claude Bernard Lyon 1, Groupement Hospitalier Est, Hospices Civils de Lyon, 59 Boulevard Pinel, Bron, France.
Neurosurg Focus. 2012 Jul;33(1):E5. doi: 10.3171/2012.5.FOCUS1295.
Comparative effectiveness research (CER) allows evidence to be evaluated on the effectiveness, benefits, and detriments of management options, diagnostic tests, or ways to deliver health care. This process can be achieved in different ways, such as with well-designed randomized controlled trials or by meta-analyses. Several medical subspecialties are increasingly using CER, but CER remains underused by the neurosurgical community. Meta-analysis is a highly accurate method that permits results from multiple well-designed research studies to be quantitatively compared. Meta-analysis can be performed in many settings, such as the evaluation of treatment or of a diagnostic test or prognostic factor. Meta-analyses of randomized controlled treatment trials are well known, but there is a paucity of papers describing the ways to perform a meta-analysis of a diagnostic test. The aim of this paper is to improve neurosurgeons' familiarity with the meta-analysis of diagnostic test accuracy by describing and detailing each stage leading to publication.
比较效果研究（CER）允许对管理方案、诊断测试或提供医疗保健的方式的有效性、益处和弊端进行评估。可以通过多种方式实现这一过程，例如精心设计的随机对照试验或荟萃分析。一些医学亚专业越来越多地使用 CER，但神经外科学界对 CER 的使用仍然不足。荟萃分析是一种高度准确的方法，可对多项精心设计的研究结果进行定量比较。荟萃分析可以在许多环境中进行，例如治疗或诊断测试或预后因素的评估。随机对照治疗试验的荟萃分析是众所周知的，但描述如何进行诊断测试的荟萃分析的论文却很少。本文的目的是通过描述和详细说明导致发表的每个阶段，提高神经外科医生对诊断测试准确性的荟萃分析的熟悉程度。
