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Influencing Clinicians and Healthcare Managers: Can ROC be more persuasive?

机译:影响临床医生和医疗保健经理:ROC能否更具说服力?

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Receiver Operating Characteristic analysis provides a reliable and cost effective performance measurement tool, without using full clinical trials. However, when ROC analysis shows that performance is statistically superior in one condition than another it is difficult to relate this result to effects in practice, or even to determine whether it is clinically significant. In this paper we present two concurrent analyses: using ROC methods alongside single threshold recall rate data, and suggest that reporting both provides complimentary data. Four mammographers read 160 difficult cases (41% malignant) twice, with and without prior mammograms. Lesion location and probability of malignancy was reported for each case and analyzed using JAFROC. Concurrently each participant chose recall or return to screen for each case. JAFROC analysis showed that the presence of prior mammograms improved performance (p<.05). Single threshold data showed a trend towards a 26% increase in the number of false positive recalls without prior mammograms (p=.O56). If this trend were present throughout the NHS Breast Screening Programme then discarding prior mammograms would correspond to an increase in recall rate from 4.6% to 5.3%, and 12,414 extra women recalled annually for assessment. Whilst ROC methods account for all possible thresholds of recall and have higher power, providing a single threshold example of false positive, false negative, and recall rates when reporting results could be more influential for clinicians. This paper discusses whether this is a useful additional method of presenting data, or whether it is misleading and inaccurate.
机译:接收器工作特性分析提供了可靠且具有成本效益的性能测量工具,而无需使用完整的临床试验。但是,当ROC分析表明,在某种情况下性能在统计学上优于另一种情况时,很难将此结果与实际效果联系起来,甚至很难确定其是否具有临床意义。在本文中,我们提出了两个并发分析:将ROC方法与单个阈值召回率数据一起使用,并建议报告两者可提供互补数据。四个乳房X光检查人员在有和没有乳房X光检查的情况下,两次读取160例困难病例(41%恶性)。报告每个病例的病变位置和恶性可能性,并使用JAFROC进行分析。同时,每个参与者针对每种情况选择召回或返回屏幕。 JAFROC分析表明,先前的乳房X线照片可以改善性能(p <.05)。单一阈值数据显示,没有事先进行乳房X光检查的假阳性召回次数有26%的增长趋势(p = .O56)。如果这种趋势在整个NHS乳房筛查计划中均存在,则丢弃先前的乳房X光照片将使召回率从4.6%增加到5.3%,并且每年召回12414名女性进行评估。尽管ROC方法考虑了所有可能的召回阈值并具有更高的功效,但当报告结果可能对临床医生更具影响力时,提供了假阳性,假阴性和召回率的单个阈值示例。本文讨论了这是否是一种有用的表示数据的附加方法,还是它具有误导性和不准确性。

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