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Response to "Reply to: 'The decreasing predictive power of MELD in an era of changing etiology of liver disease'".
American Journal of Transplantation ( IF 8.8 ) Pub Date : 2020-01-29 , DOI: 10.1111/ajt.15783
Elizabeth L Godfrey 1 , Tahir H Malik 1 , Jennifer C Lai 2 , Ayse L Mindikoglu 1, 3 , N Thao N Galván 1 , Ronald T Cotton 1 , Christine A O'Mahony 1 , John A Goss 1 , Abbas Rana 1
Affiliation  

We appreciate Kwong et al.'s utilization of Harrell's c‐statistic and its ability to incorporate follow‐up time as a valuable contribution to the discussion about our group's findings.1 We acknowledge that the conventional area under receiver‐operating‐characteristic curve concordance statistic has limitations; however, we selected the conventional c‐statistic to remain methodologically consistent with the manner in which the Model for End‐Stage Liver Disease (MELD) was originally designed and validated, first to predict post‐TIPS survival, then when applied to ESLD generally, and finally when integrated into allocation.

中文翻译:

回应“回复:'在肝病病因学不断变化的时代,MELD 的预测能力下降'”。

我们感谢 Kwong 等人对 Harrell 的 c 统计量的利用及其将随访时间作为对讨论我们小组调查结果的宝贵贡献的能力。1我们承认接受者操作特征曲线一致性统计下的常规面积有局限性;然而,我们选择了传统的 c 统计量,以在方法学上与终末期肝病模型 (MELD) 最初设计和验证的方式保持一致,首先用于预测 TIPS 后生存,然后普遍应用于 ESLD,最后当整合到分配中时。
更新日期:2020-01-14
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