A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study

Salvatore Agnes; Mario Angelico; Alessandra Nardi; Renato Romagnoli; Tania Marianelli; Stefano Ginanni Corradini; Francesco Tandoi; Caius Gavrila; Mauro Salizzoni; Antonio D. Pinna; Umberto Cillo; Bruno Gridelli; Luciano G. De Carlis; Michele Colledan; Giorgio E. Gerunda; Alessandro Nanni Costa; Mario Strazzabosco

doi:10.1016/j.dld.2013.11.004

A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study

Salvatore Agnes, Mario Angelico, Alessandra Nardi, Renato Romagnoli, Tania Marianelli, Stefano Ginanni Corradini, Francesco Tandoi, Caius Gavrila, Mauro Salizzoni, Antonio D. Pinna, Umberto Cillo, Bruno Gridelli, Luciano G. De Carlis, Michele Colledan, Giorgio E. Gerunda, Alessandro Nanni Costa, Mario Strazzabosco

Risultato della ricerca: Contributo in rivista › Articolo in rivista

11 Citazioni (Scopus)

Abstract

To generate a robust predictive model of Early (3 months) Graft Loss after liver transplantation, we used a Bayesian approach to combine evidence from a prospective European cohort (Liver-Match) and the United Network for Organ Sharing registry.

Lingua originale	English
pagine (da-a)	N/A-N/A
Rivista	Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
DOI	https://doi.org/10.1016/j.dld.2013.11.004
Stato di pubblicazione	Pubblicato - 2014

Keywords

Donor Risk Index
Donor-recipient match
Graft failure
Hepatitis C
Risk factors
Transplantation outcome

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10.1016/j.dld.2013.11.004

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Agnes, S., Angelico, M., Nardi, A., Romagnoli, R., Marianelli, T., Corradini, S. G., Tandoi, F., Gavrila, C., Salizzoni, M., Pinna, A. D., Cillo, U., Gridelli, B., De Carlis, L. G., Colledan, M., Gerunda, G. E., Costa, A. N., & Strazzabosco, M. (2014). A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, N/A-N/A. https://doi.org/10.1016/j.dld.2013.11.004

@article{5b1a0392cc6d4e76b421e7650662fc7c,

title = "A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study",

abstract = "To generate a robust predictive model of Early (3 months) Graft Loss after liver transplantation, we used a Bayesian approach to combine evidence from a prospective European cohort (Liver-Match) and the United Network for Organ Sharing registry.",

keywords = "Donor Risk Index, Donor-recipient match, Graft failure, Hepatitis C, Risk factors, Transplantation outcome, Donor Risk Index, Donor-recipient match, Graft failure, Hepatitis C, Risk factors, Transplantation outcome",

author = "Salvatore Agnes and Mario Angelico and Alessandra Nardi and Renato Romagnoli and Tania Marianelli and Corradini, {Stefano Ginanni} and Francesco Tandoi and Caius Gavrila and Mauro Salizzoni and Pinna, {Antonio D.} and Umberto Cillo and Bruno Gridelli and {De Carlis}, {Luciano G.} and Michele Colledan and Gerunda, {Giorgio E.} and Costa, {Alessandro Nanni} and Mario Strazzabosco",

year = "2014",

doi = "10.1016/j.dld.2013.11.004",

language = "English",

pages = "N/A--N/A",

journal = "Digestive and Liver Disease",

issn = "1590-8658",

publisher = "Elsevier",

}

Agnes, S, Angelico, M, Nardi, A, Romagnoli, R, Marianelli, T, Corradini, SG, Tandoi, F, Gavrila, C, Salizzoni, M, Pinna, AD, Cillo, U, Gridelli, B, De Carlis, LG, Colledan, M, Gerunda, GE, Costa, AN & Strazzabosco, M 2014, 'A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study', Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, pagg. N/A-N/A. https://doi.org/10.1016/j.dld.2013.11.004

A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study. / Agnes, Salvatore; Angelico, Mario; Nardi, Alessandra et al.

In: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, 2014, pag. N/A-N/A.

Risultato della ricerca: Contributo in rivista › Articolo in rivista

TY - JOUR

T1 - A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study

AU - Agnes, Salvatore

AU - Angelico, Mario

AU - Nardi, Alessandra

AU - Romagnoli, Renato

AU - Marianelli, Tania

AU - Corradini, Stefano Ginanni

AU - Tandoi, Francesco

AU - Gavrila, Caius

AU - Salizzoni, Mauro

AU - Pinna, Antonio D.

AU - Cillo, Umberto

AU - Gridelli, Bruno

AU - De Carlis, Luciano G.

AU - Colledan, Michele

AU - Gerunda, Giorgio E.

AU - Costa, Alessandro Nanni

AU - Strazzabosco, Mario

PY - 2014

Y1 - 2014

N2 - To generate a robust predictive model of Early (3 months) Graft Loss after liver transplantation, we used a Bayesian approach to combine evidence from a prospective European cohort (Liver-Match) and the United Network for Organ Sharing registry.

AB - To generate a robust predictive model of Early (3 months) Graft Loss after liver transplantation, we used a Bayesian approach to combine evidence from a prospective European cohort (Liver-Match) and the United Network for Organ Sharing registry.

KW - Donor Risk Index

KW - Donor-recipient match

KW - Graft failure

KW - Hepatitis C

KW - Risk factors

KW - Transplantation outcome

KW - Donor Risk Index

KW - Donor-recipient match

KW - Graft failure

KW - Hepatitis C

KW - Risk factors

KW - Transplantation outcome

UR - http://hdl.handle.net/10807/51139

U2 - 10.1016/j.dld.2013.11.004

DO - 10.1016/j.dld.2013.11.004

M3 - Article

SP - N/A-N/A

JO - Digestive and Liver Disease

JF - Digestive and Liver Disease

SN - 1590-8658

ER -

Agnes S, Angelico M, Nardi A, Romagnoli R, Marianelli T, Corradini SG et al. A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver. 2014;N/A-N/A. doi: 10.1016/j.dld.2013.11.004

A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study

Abstract

Keywords

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