Andrea Perez-de-Acha1, Sophie Pilleron2, Enrique Soto-Perez-de-Celis3. 1. Department of Geriatrics, Instituto Nacional de Ciencias Medicas Y Nutricion Salvador Zubiran, Vasco de Quiroga 15, Colonia Belisario Dominguez Sección XVI, Tlalpan, Ciudad de Mexico, Mexico. 2. Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK. 3. Department of Geriatrics, Instituto Nacional de Ciencias Medicas Y Nutricion Salvador Zubiran, Vasco de Quiroga 15, Colonia Belisario Dominguez Sección XVI, Tlalpan, Ciudad de Mexico, Mexico. enrique.sotop@incmnsz.mx.
Abstract
PURPOSE OF REVIEW: The prediction of all-cause mortality is an important component of shared decision-making across the cancer care continuum, particularly in older adults with limited life expectancy, for whom there is an increased risk of over-diagnosis and treatment. RECENT FINDINGS: Currently, several international societies recommend the use of all-cause mortality risk prediction tools when making decisions regarding screening and treatment in geriatric oncology. Here, we review some practical aspects of the utilization of those tools and dissect the characteristics of those most employed in geriatric oncology, highlighting both their advantages and their limitations.
PURPOSE OF REVIEW: The prediction of all-cause mortality is an important component of shared decision-making across the cancer care continuum, particularly in older adults with limited life expectancy, for whom there is an increased risk of over-diagnosis and treatment. RECENT FINDINGS: Currently, several international societies recommend the use of all-cause mortality risk prediction tools when making decisions regarding screening and treatment in geriatric oncology. Here, we review some practical aspects of the utilization of those tools and dissect the characteristics of those most employed in geriatric oncology, highlighting both their advantages and their limitations.
Authors: Angela B Mariotto; Anne-Michelle Noone; Nadia Howlader; Hyunsoon Cho; Gretchen E Keel; Jessica Garshell; Steven Woloshin; Lisa M Schwartz Journal: J Natl Cancer Inst Monogr Date: 2014-11
Authors: Kah Poh Loh; Enrique Soto-Perez-de-Celis; Tina Hsu; Nienke A de Glas; Nicolò Matteo Luca Battisti; Capucine Baldini; Manuel Rodrigues; Stuart M Lichtman; Hans Wildiers Journal: J Oncol Pract Date: 2018-02 Impact factor: 3.714