LaValley M
Boston University Arthritis Center, MA 02118, USA.
Arthritis Care Res. 1997 Jun;10(3):208-13. doi: 10.1002/art.1790100309.
The same proponent of meta-analysis who feels that it offers the highest level of evidence of treatment efficacy has also warned that "it is easy to do a meta-analysis; it is hard to do one well" (1). This paper has listed a series of issues that should be addressed in the construction of a good meta-analysis. A meta-analysis protocol needs to be prepared. A concerted effort should be made to capture all published and unpublished studies that address the research question. These studies should then be compared to the inclusion and exclusion criteria from the protocol to determine which will be used in the meta-analysis. A random effects analysis should be performed on the studies. A test of the homogeneity of studies should be done. Funnel plots and the tolerance for null results should be computed to assess publication biases. Finally, sensitivity analyses should be performed. All of these issues need to be discussed in the report of the meta-analysis so that readers can judge the validity of the conclusions.
“进行荟萃分析很容易;但要做好却很难”(1)。本文列出了在构建良好的荟萃分析时应解决的一系列问题。需要准备一份荟萃分析方案。应齐心协力获取所有涉及该研究问题的已发表和未发表研究。然后应将这些研究与方案中的纳入和排除标准进行比较,以确定哪些将用于荟萃分析。应对这些研究进行随机效应分析。应进行研究同质性检验。应计算漏斗图和对无效结果的容忍度,以评估发表偏倚。最后,应进行敏感性分析。荟萃分析报告中需要讨论所有这些问题,以便读者能够判断结论的有效性。