A simple, step-by-step guide to interpreting decision curve analysis.
A simple, step-by-step guide to interpreting decision curve analysis.
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DOI：
10.1186/s41512-019-0064-7
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发表时间：
2019-01-01
影响因子：
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通讯作者：
Steyerberg, Ewout W
中科院分区：
文献类型：
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作者：
Vickers, Andrew J;van Calster, Ben;Steyerberg, Ewout W
背景：决策曲线分析是一种评估预测模型和诊断测试的方法，在2006年的出版物中引入。决策曲线现在通常在文献中报道，但仍然存在广泛的误解和混乱，他们的意思。摘要评论：在本文中，我们提出了一个教学，一步一步的介绍解释决策曲线分析和回答一些常见的问题的方法。我们认为，解释决策曲线的许多困难可以通过将y轴重新标记为“利益”，将x轴重新标记为“偏好”来解决。“如果一个模型或测试在一系列临床合理的偏好中具有最高水平的益处，那么它可以被推荐用于临床使用。结论：如果读者和作者遵循一些简单的指导方针，决策曲线很容易解释。
BACKGROUND: Decision curve analysis is a method to evaluate prediction models and diagnostic tests that was introduced in a 2006 publication. Decision curves are now commonly reported in the literature, but there remains widespread misunderstanding of and confusion about what they mean.SUMMARY OF COMMENTARY: In this paper, we present a didactic, step-by-step introduction to interpreting a decision curve analysis and answer some common questions about the method. We argue that many of the difficulties with interpreting decision curves can be solved by relabeling the y-axis as "benefit" and the x-axis as "preference." A model or test can be recommended for clinical use if it has the highest level of benefit across a range of clinically reasonable preferences.CONCLUSION: Decision curves are readily interpretable if readers and authors follow a few simple guidelines.