Performance of the gender-equity model for liver allocation (GEMA-Na) within the first 30 and 60 days of listing

Research areas:

• Uncategorized

Year:

2023

Type of Publication:

In Proceedings

Authors:

• Rodríguez-Perálvarez, M.
• Gómez-Orellana, Antonio Manuel
• Majumdar, A.
• Bailey, M.
• McCaughan, G.
• Gow, P.
• Guerrero, M.
• Taylor, R.
• Guijo-Rubio, David
• Hervás-Martínez, César
• Tsochatzis, E.

Book title:

ILTS 2023 Joint International Congress of ILTS, ELITA and LICAGE, May 3-6, 2023.

Organization:

Transplantation

BibTex:

@conference{GEMA-Na-Congress-2023, author = "M. Rodr{\'i}guez-Per{\'a}lvarez and Antonio Manuel G{\'o}mez-Orellana and A. Majumdar and M. Bailey and G. McCaughan and P. Gow and M. Guerrero and R. Taylor and David Guijo-Rubio and C{\'e}sar Herv{\'a}s-Mart{\'i}nez and E. Tsochatzis", abstract = "Models for liver transplant (LT) allocation have been trained to predict mortality or delisting for sickness at 90 days. Their performance in a context of waiting list shortening is uncertain.", booktitle = "ILTS 2023 Joint International Congress of ILTS, ELITA and LICAGE, May 3-6, 2023.", doi = "https://doi.org/10.1097/01.tp.0000978836.44371.fe", organization = "Transplantation", title = "{P}erformance of the gender-equity model for liver allocation ({GEMA}-{N}a) within the first 30 and 60 days of listing", url = "doi.org/10.1097/01.tp.0000978836.44371.fe", year = "2023", }

Abstract:

Models for liver transplant (LT) allocation have been trained to predict mortality or delisting for sickness at 90 days. Their performance in a context of waiting list shortening is uncertain.