2017
DOI: 10.1111/liv.13378
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External validation of the Donor Risk Index and the Eurotransplant Donor Risk Index on the French liver transplantation registry

Abstract: Neither of these risk indexes were suitable to optimize the French liver allocation system. Thus, our next step will be to propose a general adaptive model for a Donor Risk Index.

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Cited by 19 publications
(28 citation statements)
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“…The latest indicators based on neural networks are complex, rely on limited experience, are scarcely generalizable and are also difficult to extrapolate to the daily clinical practice (9,10). Finally, external validations for some indicators (DRI, MELD, D-MELD and SOFT [7], DRI and ET-DRI [13], DRI and SOFT [10]) do not confirm their validity when applied to scenarios different to their principal intended use, as is the case in our study. The latter point likely results from large differences between countries and programs, in terms of donor population and donation-transplantation process characteristics and not so much with recipient characteristics.…”
Section: Discussioncontrasting
confidence: 73%
“…The latest indicators based on neural networks are complex, rely on limited experience, are scarcely generalizable and are also difficult to extrapolate to the daily clinical practice (9,10). Finally, external validations for some indicators (DRI, MELD, D-MELD and SOFT [7], DRI and ET-DRI [13], DRI and SOFT [10]) do not confirm their validity when applied to scenarios different to their principal intended use, as is the case in our study. The latter point likely results from large differences between countries and programs, in terms of donor population and donation-transplantation process characteristics and not so much with recipient characteristics.…”
Section: Discussioncontrasting
confidence: 73%
“…Survival differences were predominantly driven by events in the first year . However, later validation studies assigned a lower C‐statistic of 0.48‐0.52 . A refinement of ET‐DRI that combined recipient factors showed a significantly higher c‐index of 0.62 versus 0.59 ( P < 0.001) …”
Section: Limitations and Barriers To Acceptancementioning
confidence: 96%
“…However, the accuracy in predicting outcome after LT has been shown to be relatively low, with C-statistics around 0,5 when validated externally 265 . It has later been refined and combined with a simplified recipient risk index (sRII) achieving a somewhat better c-statistic of 0.62 266 .…”
Section: Donor and Recipient Matchingmentioning
confidence: 99%