Visualizing inconsistency in network meta-analysis by independent path decomposition.
Visualizing inconsistency in network meta-analysis by independent path decomposition.
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DOI：
10.1186/1471-2288-14-131
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发表时间：
2014-12-16
影响因子：
4
通讯作者：
König J
中科院分区：
文献类型：
--
作者：
Krahn U;Binder H;König J
在网络荟萃分析中，可以通过汇集不同研究中所有随机比较的证据来比较几种替代治疗。纳入的间接结论需要一致的治疗效果网络。对该假设和偏差影响的评估是有效性评价的基础。我们表明，网络估计单成对治疗比较可以近似的证据，可分解成独立的路径的子网。基于路径的估计和剩余证据的估计可以用于网络估计的贡献，以建立用于一致性评估的森林样地。使用网络荟萃分析的12种抗抑郁药和控制扰动的真实的和构建一致的数据，我们讨论了一致性评估的独立路径分解的方法，使用最近提出的图形工具，净热图。此外，我们定义了影响函数，描述了如何将研究效果的变化转化为网络估计。虽然通过净热量图进行的一致性评估包括所有网络估计，但森林图中的独立路径分解和可视化是针对一种特定的处理比较而定制的。它允许识别不同证据路径和离群值效应之间的不一致是否确实影响所考虑的治疗比较。通过子网的证据和分解成独立路径的可视化来进行单个比较的网络估计的近似提供了从经典荟萃分析已知的图形验证工具的适用性。
In network meta-analysis, several alternative treatments can be compared by pooling the evidence of all randomised comparisons made in different studies. Incorporated indirect conclusions require a consistent network of treatment effects. An assessment of this assumption and of the influence of deviations is fundamental for the validity evaluation. We show that network estimates for single pairwise treatment comparisons can be approximated by the evidence of a subnet that is decomposable into independent paths. Path-based estimates and the estimate of the residual evidence can be used with their contribution to the network estimate to set up a forest plot for the consistency assessment. Using a network meta-analysis of twelve antidepressants and controlled perturbations in the real and constructed consistent data, we discuss the consistency assessment by the independent path decomposition in contrast to an approach using a recently presented graphical tool, the net heat plot. In addition, we define influence functions that describe how changes in study effects are translated into network estimates. While the consistency assessment by the net heat plot comprises all network estimates, an independent path decomposition and visualisation in a forest plot is tailored to one specific treatment comparison. It allows for the recognition as to whether inconsistencies between different paths of evidence and outlier effects do affect the considered treatment comparison. The approximation of the network estimate for a single comparison by the evidence of a subnet and the visualisation of the decomposition into independent paths provide the applicability of a graphical validation instrument that is known from classical meta-analysis.
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影响因子：
7.2
作者：
Song, F.;Harvey, I.;Lilford, R.
通讯作者：
Lilford, R.
影响因子：
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作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
2.3
作者：
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通讯作者：
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