Use of the cumulative proportion of responders analysis graph to present pain data over a range of cut-off points Making clinical trial data more understandable
Use of the cumulative proportion of responders analysis graph to present pain data over a range of cut-off points Making clinical trial data more understandable
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DOI：
10.1016/j.jpainsymman.2005.08.018
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发表时间：
2006-04-01
影响因子：
4.7
通讯作者：
Max, Mitchell B.
中科院分区：
文献类型：
--
作者：
Farrar, John T.;Dworkin, Robert H.;Max, Mitchell B.
在随机对照试验中，没有一个单一的反应定义对所有目的都是理想的。我们提出了一种方法，以一种简单的方式呈现在整个反应水平上的反应可能性，这将有助于更好地理解临床试验数据。作为例子，我们介绍了被称为累积响应者比例分析(CPRA)的技术及其在四个疼痛临床试验数据集上的应用。CPRA可用于以图表的形式显示整个可能截止点范围内的应答者比例。这使读者可以在对其患者群体有效的任何应答者水平上比较治疗组。无论是作为疼痛治疗临床试验的主要方法还是次要方法，以CPRA格式显示数据可能有助于理解、结果和对患者护理的适用性。
In randomized controlled trials, no single definition of response is ideal for all purposes. We propose a method to present in a simple fashion the likelihood of response over a full range of response levels, which will facilitate a better understanding of clinical trial data. We present the technique called the cumulative Proportion of responders analysis (CPRA) and its application to four pain clinical trial data sets as examples. The CPRA can be used to present the Proportion of responders over the entire range of possible cut-off points as a graph. This allows the reader to compare treatment groups at any responder level that is valid for their patient population. Whether as a primary or secondary approach to a clinical trial of pain therapy, the display of data in a CPRA format may be useful in the understanding of,results and applicability to patient care.