Response to "Reply to: 'The decreasing predictive power of MELD in an era of changing etiology of liver disease'".

Clicks: 416
ID: 80990
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #7 of 54 articles by views in american journal of transplantation : official journal of the american society of transplantation and the american society of transplant surgeons

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
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. 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.
Reference Key
godfrey2020responseamerican Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Godfrey, Elizabeth L;Malik, Tahir H;Lai, Jennifer C;Mindikoglu, Ayse L;Galván, N Thao N;Cotton, Ronald T;O'Mahony, Christine A;Goss, John A;Rana, Abbas;
Journal american journal of transplantation : official journal of the american society of transplantation and the american society of transplant surgeons
Year 2020
DOI
10.1111/ajt.15783
URL
Keywords
sudden cardiac death acute myocardial infarction heart failure left ventricular systolic dysfunction risk model

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.