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Reply to high-quality meta-analyses are required for development of evidence in medicine

机译:开发医学证据需要回复高质量的荟萃分析

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摘要

We read with interest the letter from Aalaei-Andabili and Alavian [1] regarding our systematic review and meta-analyses of interventions to prevent hepatitis C virus (HCV) transmission among persons who inject drugs [2]. They raise many important questions. We concur with their view that the methods of meta-analyses are undergoing scrutiny and change, and we also believe that exchanges such as this may contribute to further development of the methods.In our article, we did not mention that all studies included in the HCV Synthesis Project were rated for quality, with ratings based on MOOSE criteria [3]. A description of our quality rating is published elsewhere [4]. However, in this review there were not enough studies of HCV prevention to assess quality in meta-regression analyses, and there was not enough variation in quality to transform this measure into meaningful categories (eg, "lower" vs "higher" quality) with which we could compare grouped results.
机译:我们饶有兴趣地阅读了Aalaei-Andabili和Alavian [1]的来信,内容涉及我们对预防C型肝炎病毒(HCV)注射者之间传播的干预措施的系统回顾和荟萃分析[2]。他们提出了许多重要的问题。我们同意他们的观点,即荟萃分析的方法正在接受审查和变更,我们还认为此类交流可能有助于方法的进一步发展。在我们的文章中,我们没有提到本文包含的所有研究HCV综合项目对质量进行了评级,评级基于MOOSE标准[3]。我们的质量评级的描述在其他地方发表[4]。但是,在这篇综述中,没有足够的HCV预防研究来评估荟萃回归分析的质量,并且没有足够的质量差异将该方法转变为有意义的类别(例如,“较低”与“较高”质量)我们可以比较分组结果。

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