Quantitative Synthesis—An Update

Excerpt

Quantitative synthesis, or meta-analysis, is often essential for Comparative Effective Reviews (CERs) to provide scientifically rigorous summary information. Quantitative synthesis should be conducted in a transparent and consistent way with methodologies reported explicitly. This guide provides practical recommendations on conducting synthesis. The guide is not meant to be a textbook on meta-analysis nor is it a comprehensive review of methods, but rather it is intended to provide a consistent approach for situations and decisions that are commonly faced by AHRQ Evidence-based Practice Centers (EPCs). The goal is to describe choices as explicitly as possible, and in the context of EPC requirements, with an appropriate degree of confidence.

This guide addresses issues in the order that they are usually encountered in a synthesis, though we acknowledge that the process is not always linear. We first consider the decision of whether or not to combine studies quantitatively. The next chapter addresses how to extract and utilize data from individual studies to construct effect sizes, followed by a chapter on statistical model choice. The fourth chapter considers quantifying and exploring heterogeneity. The fifth describes an indirect evidence technique that has not been included in previous guidance – network meta-analysis, also known as mixed treatment comparisons. The final section in the report lays out future research suggestions.