Practical methods for incorporating summary time-to-event data into meta-analysis.

Practical methods for incorporating summary time-to-event data into meta-analysis.
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DOI:
10.1186/1745-6215-8-16
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发表时间:
2007-06-07
期刊:
影响因子:
2.5
通讯作者:
Sydes MR
Sydes MR
中科院分区:
医学4区
文献类型:
--
作者:
Tierney JF;Stewart LA;Ghersi D;Burdett S;Sydes MR

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在系统性综述和荟萃分析中,最适合使用风险比(HR)分析至事件发生时间结局。在缺乏个体患者数据(IPD)的情况下,可以通过仔细处理已发表的或其他汇总数据来获得HR和/或相关统计数据。对这些方法的认识和采用有些有限,也许是因为它们是用统计符号在统计文献中发表的。本文旨在“翻译”的方法,估计人力资源和相关的统计数据,从公布的时间到事件的分析,减少统计和更实用的指导,并提供相应的,易于使用的计算电子表格,以促进计算方面。更广泛的受众应该能够理解个体试验报告中已发布的事件时间数据,并在荟萃分析中更恰当地使用它。当遇到特殊情况时,读者可以参考本文的相关章节。电子表格可用于帮助他们进行计算。这些方法无法避免依赖已发表数据进行系统评价和荟萃分析的潜在偏倚。然而,这一实用指南应提高分析质量,并随后解释系统性综述和荟萃分析,包括时间到事件的结果。
In systematic reviews and meta-analyses, time-to-event outcomes are most appropriately analysed using hazard ratios (HRs). In the absence of individual patient data (IPD), methods are available to obtain HRs and/or associated statistics by carefully manipulating published or other summary data. Awareness and adoption of these methods is somewhat limited, perhaps because they are published in the statistical literature using statistical notation. This paper aims to 'translate' the methods for estimating a HR and associated statistics from published time-to-event-analyses into less statistical and more practical guidance and provide a corresponding, easy-to-use calculations spreadsheet, to facilitate the computational aspects. A wider audience should be able to understand published time-to-event data in individual trial reports and use it more appropriately in meta-analysis. When faced with particular circumstances, readers can refer to the relevant sections of the paper. The spreadsheet can be used to assist them in carrying out the calculations. The methods cannot circumvent the potential biases associated with relying on published data for systematic reviews and meta-analysis. However, this practical guide should improve the quality of the analysis and subsequent interpretation of systematic reviews and meta-analyses that include time-to-event outcomes.
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