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Predicting outcomes after kidney transplantation: Can Pareto's rules help us to do so?
Gonzalez, Fernando M; Cohens, Francisca Gonzalez.
Afiliación
  • Gonzalez FM; Department of Nephrology, Faculty of Medicine, Universidad de Chile, Santiago 7500922, Chile. fgonzalf@uc.cl.
  • Cohens FG; Web Intelligence Centre, Faculty of Physics and Mathematical Sciences, Santiago 7500922, Chile.
World J Transplant ; 14(1): 90149, 2024 Mar 18.
Article en En | MEDLINE | ID: mdl-38576758
ABSTRACT
Kidney transplantation is the best option for kidney replacement therapy, even considering that most of the times the grafts do not survive as long as their recipients. In the Khalil et al's experience, published in this issue of the Journal, they analyze their second kidney graft survival and describe those significant predictors of early loss. This editorial comments on the results and put in perspec tive that most of the times, long-term graft survival could be inadvertently jeopardized if the immunosuppressive therapy is reduced or withdrawn for any reason, and that it could happen frequently if the transplant physician intends to innovate with the clinical care without proper evidence-based data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: World J Transplant Año: 2024 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: World J Transplant Año: 2024 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Estados Unidos