Dynamic meta-analysis: a method of using global evidence for local decision making.
Dynamic meta-analysis: a method of using global evidence for local decision making.
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DOI：
10.1186/s12915-021-00974-w
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发表时间：
2021-02-17
期刊：
影响因子：
5.4
通讯作者：
Sutherland WJ
中科院分区：
文献类型：
--
作者：
Shackelford GE;Martin PA;Hood ASC;Christie AP;Kulinskaya E;Sutherland WJ
荟萃分析通常用于在全球范围内对所有可用证据进行概括。但是，如果全球证据被认为与地方决策无关，这些全球概括如何用于地方规模的循证决策？我们展示了如何互动的荟萃分析方法-动态荟萃分析-可以用来评估全球证据的局部相关性。我们开发了Metadataset（www.metadataset.com）作为动态荟萃分析的概念验证。使用元数据集，我们展示了如何过滤和加权证据，并可以重新计算结果，使用动态方法的亚组分析，元回归和重新校准。以农业生态学为例，我们展示了动态荟萃分析如何针对全球证据的不同子集得出不同的结论。动态荟萃分析也可能导致证据合成中权力和责任的重新平衡，因为证据使用者将能够做出通常由系统评审员做出的决定-关于包括哪些研究（例如关键评价）以及如何处理缺失或报告不佳的数据（例如敏感性分析）的决定。在这项研究中，我们展示了动态荟萃分析如何满足基于证据的决策的一个重要挑战-使用全球证据进行局部决策的挑战。我们建议，动态荟萃分析可以用于在几个科学学科，包括农业生态学和保护生物学学科范围内的证据合成。未来的研究应该为用于过滤和加权证据的元数据开发标准化的分类系统。未来的研究还应该开发标准化的软件包，以便研究人员能够有效地发布其荟萃分析的动态版本，并将其作为实时系统评价进行更新。Metadataset是这类软件的概念验证，它是开源的。未来的研究应该改善用户体验，扩展软件架构，商定数据和元数据存储和处理的标准，并制定负责任的证据使用协议。在线版本包含补充材料，可通过10.1186/s12915-021-00974-w获得。
Meta-analysis is often used to make generalisations across all available evidence at the global scale. But how can these global generalisations be used for evidence-based decision making at the local scale, if the global evidence is not perceived to be relevant to local decisions? We show how an interactive method of meta-analysis—dynamic meta-analysis—can be used to assess the local relevance of global evidence. We developed Metadataset (www.metadataset.com) as a proof-of-concept for dynamic meta-analysis. Using Metadataset, we show how evidence can be filtered and weighted, and results can be recalculated, using dynamic methods of subgroup analysis, meta-regression, and recalibration. With an example from agroecology, we show how dynamic meta-analysis could lead to different conclusions for different subsets of the global evidence. Dynamic meta-analysis could also lead to a rebalancing of power and responsibility in evidence synthesis, since evidence users would be able to make decisions that are typically made by systematic reviewers—decisions about which studies to include (e.g. critical appraisal) and how to handle missing or poorly reported data (e.g. sensitivity analysis). In this study, we show how dynamic meta-analysis can meet an important challenge in evidence-based decision making—the challenge of using global evidence for local decisions. We suggest that dynamic meta-analysis can be used for subject-wide evidence synthesis in several scientific disciplines, including agroecology and conservation biology. Future studies should develop standardised classification systems for the metadata that are used to filter and weight the evidence. Future studies should also develop standardised software packages, so that researchers can efficiently publish dynamic versions of their meta-analyses and keep them up-to-date as living systematic reviews. Metadataset is a proof-of-concept for this type of software, and it is open source. Future studies should improve the user experience, scale the software architecture, agree on standards for data and metadata storage and processing, and develop protocols for responsible evidence use. The online version contains supplementary material available at 10.1186/s12915-021-00974-w.
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