Automated generation of node-splitting models for assessment of inconsistency in network meta-analysis.
Automated generation of node-splitting models for assessment of inconsistency in network meta-analysis.
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DOI：
10.1002/jrsm.1167
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发表时间：
2016-03
影响因子：
9.8
通讯作者：
Welton, Nicky J.
中科院分区：
文献类型：
--
作者：
van Valkenhoef, Gert;Dias, Sofia;Ades, A. E.;Welton, Nicky J.
关键词：
网络荟萃分析能够同时合成比较任何数量治疗的临床试验网络。相对治疗效果估计之间潜在的不一致是一个重要的问题，已经提出了几种检测不一致的方法。本文关注的是节点分裂方法，它特别有吸引力，因为它的解释简单，对比了直接和间接证据的估计。然而，节点分割分析是劳动密集型的，因为每个感兴趣的比较都需要一个单独的模型。如果节点分裂模型可以自动估计所有感兴趣的比较，这将是有利的。我们提出了一个明确的决策规则来选择要分割哪些比较，并证明了它只选择网络中潜在不一致环路中的比较，并且研究了网络中所有潜在不一致环路中的比较。此外，决策规则规避了多臂试验参数化的问题，确保在所有情况下模型生成都是微不足道的。因此，我们的方法消除了使用节点分裂方法所涉及的大部分手工工作，使分析人员能够专注于解释结果。©2015作者研究合成方法由John Wiley & Sons Ltd出版。
Network meta‐analysis enables the simultaneous synthesis of a network of clinical trials comparing any number of treatments. Potential inconsistencies between estimates of relative treatment effects are an important concern, and several methods to detect inconsistency have been proposed. This paper is concerned with the node‐splitting approach, which is particularly attractive because of its straightforward interpretation, contrasting estimates from both direct and indirect evidence. However, node‐splitting analyses are labour‐intensive because each comparison of interest requires a separate model. It would be advantageous if node‐splitting models could be estimated automatically for all comparisons of interest. We present an unambiguous decision rule to choose which comparisons to split, and prove that it selects only comparisons in potentially inconsistent loops in the network, and that all potentially inconsistent loops in the network are investigated. Moreover, the decision rule circumvents problems with the parameterisation of multi‐arm trials, ensuring that model generation is trivial in all cases. Thus, our methods eliminate most of the manual work involved in using the node‐splitting approach, enabling the analyst to focus on interpreting the results. © 2015 The Authors Research Synthesis Methods Published by John Wiley & Sons Ltd.
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