Literature DB >> 25788372

Use of BAR score as predictor of short and long-term survival of liver transplantation patients.

Chung-Mau Lo1.   

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Year:  2014        PMID： 25788372     DOI： 10.1007/s12072-014-9587-8

Source DB:  PubMed          Journal:  Hepatol Int        ISSN： 1936-0533            Impact factor:   6.047


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  7 in total

1.  Application of the BAR score as a predictor of short- and long-term survival in liver transplantation patients.

Authors:  Ivan Dias de Campos Junior; Raquel Silveira Bello Stucchi; Elisabete Yoko Udo; Ilka de Fátima Santana Ferreira Boin
Journal:  Hepatol Int       Date:  2014-08-09       Impact factor: 6.047

2.  Are there better guidelines for allocation in liver transplantation? A novel score targeting justice and utility in the model for end-stage liver disease era.

Authors:  Philipp Dutkowski; Christian E Oberkofler; Ksenija Slankamenac; Milo A Puhan; Erik Schadde; Beat Müllhaupt; Andreas Geier; Pierre A Clavien
Journal:  Ann Surg       Date:  2011-11       Impact factor: 12.969

3.  Characteristics associated with liver graft failure: the concept of a donor risk index.

Authors:  S Feng; N P Goodrich; J L Bragg-Gresham; D M Dykstra; J D Punch; M A DebRoy; S M Greenstein; R M Merion
Journal:  Am J Transplant       Date:  2006-04       Impact factor: 8.086

4.  Model for end-stage liver disease (MELD) and allocation of donor livers.

Authors:  Russell Wiesner; Erick Edwards; Richard Freeman; Ann Harper; Ray Kim; Patrick Kamath; Walter Kremers; John Lake; Todd Howard; Robert M Merion; Robert A Wolfe; Ruud Krom
Journal:  Gastroenterology       Date:  2003-01       Impact factor: 22.682

5.  Value and limitations of the BAR-score for donor allocation in liver transplantation.

Authors:  Harald Schrem; Anna-Luise Platsakis; Alexander Kaltenborn; Armin Koch; Courtney Metz; Marc Barthold; Christian Krauth; Volker Amelung; Felix Braun; Thomas Becker; Jürgen Klempnauer; Benedikt Reichert
Journal:  Langenbecks Arch Surg       Date:  2014-09-14       Impact factor: 3.445

6.  Survival outcomes following liver transplantation (SOFT) score: a novel method to predict patient survival following liver transplantation.

Authors:  A Rana; M A Hardy; K J Halazun; D C Woodland; L E Ratner; B Samstein; J V Guarrera; R S Brown; J C Emond
Journal:  Am J Transplant       Date:  2008-09-25       Impact factor: 8.086

7.  D-MELD, a simple predictor of post liver transplant mortality for optimization of donor/recipient matching.

Authors:  J B Halldorson; R Bakthavatsalam; O Fix; J D Reyes; J D Perkins
Journal:  Am J Transplant       Date:  2008-12-15       Impact factor: 8.086
  7 in total
  2 in total

1.  Potential value and limitations of different clinical scoring systems in the assessment of short- and long-term outcome following orthotopic liver transplantation.

Authors:  Joerg Boecker; Zoltan Czigany; Jan Bednarsch; Iakovos Amygdalos; Franziska Meister; Daniel Antonio Morales Santana; Wen-Jia Liu; Pavel Strnad; Ulf Peter Neumann; Georg Lurje
Journal:  PLoS One       Date:  2019-03-21       Impact factor: 3.240

2.  BAR Score Performance in Predicting Survival after Living Donor Liver Transplantation: A Single-Center Retrospective Study.

Authors:  Talaat Zakareya; Mohammad Taha; Hassan Elzohry; Ehab Darwiesh; Reda Aglan; Mostafa Elhelbawy; Hazem Zakaria; Mohamed Deif; Mohamed Abbasy
Journal:  Can J Gastroenterol Hepatol       Date:  2022-02-18
  2 in total

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