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.
Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, UK.
Curr Oncol Rep. 2022 Nov;24(11):1377-1385. doi: 10.1007/s11912-022-01303-2. Epub 2022 Jun 1.
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.
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.
全因死亡率预测是癌症全程照护中共同决策的一个重要组成部分，特别是对于预期寿命有限的老年患者，他们有过度诊断和治疗的风险增加。
目前，一些国际协会建议在老年肿瘤学的筛查和治疗决策中使用全因死亡率风险预测工具。在这里，我们回顾了这些工具的一些实际应用方面，并剖析了在老年肿瘤学中应用最广泛的工具的特点，突出了它们的优势和局限性。
