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首页> 外文期刊>Urologic oncology >Decision curve analysis to compare 3 versions of Partin Tables to predict final pathologic stage
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Decision curve analysis to compare 3 versions of Partin Tables to predict final pathologic stage

机译：决策曲线分析以比较Partin Tables的3种版本以预测最终病理阶段

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Objective: To perform a decision curve analysis (DCA) to compare the Partin Tables 1997, 2001, and 2007 for their clinical applicability. Material and methods: Clinical and pathologic data of 687 consecutive patients treated with open radical prostatectomy for clinically localized prostate cancer between 2003 and 2008 at a single institution were used. DCA quantified the net benefit relating to specific threshold probabilities of extraprostatic extension (EPE), seminal vesicle involvement (SVI), and lymph node involvement (LNI). Results: Overall, EPE, SVI, and LNI were recorded in 17.8, 6.0, and 1.2%, respectively. For EPE predictions, the DCA favored the 2007 version vs. 1997 for SVI vs. none of the versions for LNI. Conclusions: DCA indicate that for very low prevalence conditions such as LNI (1.2%), decision models are not useful. For low prevalence rates such as SVI, the use of different versions of the Partin Tables does not translate into meaningful net gains differences. Finally, for intermediate prevalence conditions such as EPE (18%), despite apparent performance differences, the net benefit differences were also marginal. In consequence, the current analysis could not confirm an important benefit from the use of the Partin Tables and it could not identify a clearly better version of any of the 3 available iterations.
机译：目的：进行决策曲线分析（DCA），比较Partin Tables 1997、2001和2007的临床适用性。资料和方法：使用2003年至2008年间在单个机构进行的687例接受根治性前列腺癌根治术的连续患者的临床和病理数据。 DCA量化了与前列腺外扩张（EPE），精囊受累（SVI）和淋巴结受累（LNI）的特定阈值概率相关的净收益。结果：总体而言，EPE，SVI和LNI分别记录为17.8％，6.0％和1.2％。对于EPE预测，DCA支持SVI的2007版本和1997版本，而不是LNI的版本。结论：DCA表明，对于诸如LNI（1.2％）这样的低患病率条件，决策模型没有用。对于SVI等较低的患病率，使用不同版本的Partin Tables不会转化为有意义的净收益差异。最后，对于中等流行状况，例如EPE（18％），尽管性能存在明显差异，但净收益差异也很小。因此，当前的分析无法确认使用Partin表的重要好处，也无法确定3种可用迭代中任何一种的明显更好的版本。

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