Comprehensive geriatric assessment in oncology.

Interdisciplinary topics in gerontology Pub Date : 2013-01-01 Epub Date: 2013-01-17 DOI:10.1159/000343608
Supriya G Mohile, Allison Magnuson
{"title":"Comprehensive geriatric assessment in oncology.","authors":"Supriya G Mohile,&nbsp;Allison Magnuson","doi":"10.1159/000343608","DOIUrl":null,"url":null,"abstract":"<p><p>The incidence of cancer increases with advanced age and the majority of cancer deaths are in patients aged ≥ 65. The geriatric population is a heterogeneous group and a patient's chronologic age does not always correlate with underlying physiologic status. Oncologists need to be able to obtain information on physiologic and functional capacity in older patients in order to provide safe and effective treatment recommendations. The Comprehensive Geriatric Assessment (CGA) is a compilation of validated tools that predict morbidity and mortality in community-dwelling older adults. The various components of the CGA have also been shown to influence clinical decision-making and predict outcomes in older cancer patients. The combined data from the CGA can be used to stratify patients into risk categories to better predict their tolerance to treatment and risk for chemotherapy toxicity. However, the CGA is a comprehensive tool requiring significant time and training to perform. A variety of screening tools have been developed which may be useful in the general oncology practice setting to identify patients that may benefit from further testing and intervention. This chapter will review the components and predictive value of CGA in older cancer patients, with emphasis on how CGA can practically be incorporated into clinical practice.</p>","PeriodicalId":87437,"journal":{"name":"Interdisciplinary topics in gerontology","volume":"38 ","pages":"85-103"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1159/000343608","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary topics in gerontology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1159/000343608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/1/17 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37

Abstract

The incidence of cancer increases with advanced age and the majority of cancer deaths are in patients aged ≥ 65. The geriatric population is a heterogeneous group and a patient's chronologic age does not always correlate with underlying physiologic status. Oncologists need to be able to obtain information on physiologic and functional capacity in older patients in order to provide safe and effective treatment recommendations. The Comprehensive Geriatric Assessment (CGA) is a compilation of validated tools that predict morbidity and mortality in community-dwelling older adults. The various components of the CGA have also been shown to influence clinical decision-making and predict outcomes in older cancer patients. The combined data from the CGA can be used to stratify patients into risk categories to better predict their tolerance to treatment and risk for chemotherapy toxicity. However, the CGA is a comprehensive tool requiring significant time and training to perform. A variety of screening tools have been developed which may be useful in the general oncology practice setting to identify patients that may benefit from further testing and intervention. This chapter will review the components and predictive value of CGA in older cancer patients, with emphasis on how CGA can practically be incorporated into clinical practice.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
肿瘤学老年综合评估。
癌症的发病率随着年龄的增长而增加,大多数癌症死亡发生在≥65岁的患者中。老年人群是一个异质性的群体,患者的实际年龄并不总是与潜在的生理状态相关。肿瘤学家需要能够获得老年患者的生理和功能能力信息,以便提供安全有效的治疗建议。综合老年病评估(CGA)是预测社区居住老年人发病率和死亡率的有效工具汇编。CGA的各种组成部分也被证明影响老年癌症患者的临床决策和预测预后。来自CGA的综合数据可用于对患者进行风险分类,以更好地预测其对治疗的耐受性和化疗毒性风险。然而,CGA是一个全面的工具,需要大量的时间和训练来执行。各种各样的筛查工具已经被开发出来,这些工具可能在普通肿瘤学实践环境中有用,以确定可能从进一步的测试和干预中受益的患者。本章将回顾老年癌症患者CGA的组成部分和预测价值,重点是如何将CGA实际纳入临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Introduction to the theory of aging networks. Applications to aging networks. Computational systems biology for aging research. How does the body know how old it is? Introducing the epigenetic clock hypothesis. The great evolutionary divide: two genomic systems biologies of aging.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1