Model-driven meta-analyses for informing health care: a diabetes meta-analysis as an exemplar.
Model-driven meta-analyses for informing health care: a diabetes meta-analysis as an exemplar.
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DOI：
10.1177/0193945914548229
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发表时间：
2015-04
影响因子：
1.8
通讯作者：
Ramírez G
中科院分区：
文献类型：
--
作者：
Brown SA;Becker BJ;García AA;Brown A;Ramírez G
一种相对新颖的元分析类型，即模型驱动的元分析，涉及描述性的相关数据的定量合成，对于确定健康结果的关键预测因素和为临床指南提供信息是有用的。很少有这样的荟萃分析被进行，因此，大量的研究仍然没有综合，也没有解释在医疗保健中的应用。我们描述了进行模型驱动的元分析的独特挑战，主要集中在与定位已发表和未发表的初步研究样本、提取和验证描述性和相关性数据以及进行分析相关的问题上。目前对糖尿病关键健康结局预测因素的研究的荟萃分析被用来说明我们的主要观点。
A relatively novel type of meta-analysis, a model-driven meta-analysis, involves the quantitative synthesis of descriptive, correlational data and is useful for identifying key predictors of health outcomes and informing clinical guidelines. Few such meta-analyses have been conducted and thus, large bodies of research remain unsynthesized and uninterpreted for application in health care. We describe the unique challenges of conducting a model-driven meta-analysis, focusing primarily on issues related to locating a sample of published and unpublished primary studies, extracting and verifying descriptive and correlational data, and conducting analyses. A current meta-analysis of the research on predictors of key health outcomes in diabetes is used to illustrate our main points.