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用于检测诊断成像功效研究中验证(工作流程)偏倚的交互式网络工具。

An interactive web-based tool for detecting verification (work-up) bias in studies of the efficacy of diagnostic imaging.

机构信息

Department of Radiology, University of Washington, Seattle, 98105, USA.

出版信息

Acad Radiol. 2010 Dec;17(12):1580-3. doi: 10.1016/j.acra.2010.07.011. Epub 2010 Oct 6.

DOI:10.1016/j.acra.2010.07.011
PMID:20926316
Abstract

RATIONALE AND OBJECTIVES

Diagnostic tests are validated by comparison against a "gold standard" reference test. When the reference test is invasive or expensive, it may not be applied to all patients. This results in biased estimates of the sensitivity and specificity of the diagnostic test. This type of bias is called "verification bias" and is a common problem in imaging research. The purpose of this study was to create an interactive web-based tool to help detect the presence of prevalence of verification bias in data.

MATERIALS AND METHODS

The web-based tool was written using well-documented and freely available open-source software (HTML, Apache, Ruby, and R). Our calculator is currently hosted on a Mac OS X server, but should run with minor changes on most other platforms.

RESULTS

Our program applies user-supplied study data to generate a global sensitivity analysis plot containing noncorrected and corrected values of sensitivity and specificity and 95% confidence intervals for these estimates. Interpretation of the global sensitivity analysis (GSA) plot is relatively simple. Because the characteristic GSA "butterfly" plot contains all possible values of sensitivity and specificity, any indices lying outside of this butterfly are therefore incompatible with the data, confirming that they are biased.

CONCLUSIONS

Our online calculator makes it easy for investigators to use global sensitivity analysis to demonstrate the presence of significant verification bias and to estimate bias-corrected values of sensitivity and specificity.

摘要

原理和目的

诊断测试通过与“金标准”参考测试进行比较来验证。当参考测试具有侵入性或昂贵时,可能不会将其应用于所有患者。这会导致对诊断测试的敏感性和特异性的有偏差的估计。这种类型的偏差称为“验证偏差”,是影像学研究中的一个常见问题。本研究的目的是创建一个基于网络的交互式工具,以帮助检测数据中存在验证偏差的情况。

材料和方法

该基于网络的工具是使用记录良好且免费提供的开源软件(HTML、Apache、Ruby 和 R)编写的。我们的计算器目前托管在 Mac OS X 服务器上,但在大多数其他平台上只需进行一些小的更改即可运行。

结果

我们的程序应用用户提供的研究数据,生成一个全局敏感性分析图,其中包含未经校正和校正的敏感性和特异性值以及这些估计的 95%置信区间。对全局敏感性分析(GSA)图的解释相对简单。由于特征性的 GSA“蝴蝶”图包含了所有可能的敏感性和特异性值,因此任何超出该蝴蝶图的指数都是与数据不兼容的,这证实了它们存在偏差。

结论

我们的在线计算器使研究人员可以轻松使用全局敏感性分析来证明存在重大验证偏差,并估计校正后的敏感性和特异性值。

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An interactive web-based tool for detecting verification (work-up) bias in studies of the efficacy of diagnostic imaging.用于检测诊断成像功效研究中验证(工作流程)偏倚的交互式网络工具。
Acad Radiol. 2010 Dec;17(12):1580-3. doi: 10.1016/j.acra.2010.07.011. Epub 2010 Oct 6.
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