Geriatric Assessment Predicts Survival and Competing Mortality in Elderly Patients with Early Colorectal Cancer: Can It Help in Adjuvant Therapy Decision-Making?

Author:

Antonio Maite1,Saldaña Juana1,Carmona-Bayonas Alberto2,Navarro Valentín3,Tebé Cristian4,Nadal Marga5,Formiga Francesc6,Salazar Ramon1,Borràs Josep Maria7

Affiliation:

1. Medical Oncology Department Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Institut Català d'Oncologia (ICO)-Hospital Duran i Reynals, University of Barcelona, Spain

2. Medical Oncology Department Hospital Universitario Morales Meseguer, Murcia, Spain

3. Research Clinical Unit, Institut Català d'Oncologia (ICO)-Hospital Duran I Reynals, Barcelona, Spain

4. Statisical Assessment Service, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL) and Universitat Rovira i Virgili, Spain

5. Research Management Unit, Institut Català d'Oncologia (ICO)-Hospital Duran I Reynals, Barcelona, Spain

6. Internal Medicine Service, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Hospital Universitari de Bellvitge, University of Barcelona, Spain

7. Department of Clinical Sciences University of Barcelona and Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Spain

Abstract

Abstract Background The challenge when selecting elderly patients with colorectal cancer (CRC) for adjuvant therapy is to estimate the likelihood that death from other causes will preclude cancer events from occurring. The aim of this paper is to evaluate whether comprehensive geriatric assessment (CGA) can predict survival and cancer-specific mortality in elderly CRC patients candidates for adjuvant therapy. Material and Methods One hundred ninety-five consecutive patients aged ≥75 with high-risk stage II and stage III CRC were prospectively included from May 2008 to May 2015. All patients underwent CGA, which evaluated comorbidity, polypharmacy, functional status, geriatric syndromes, mood, cognition, and social support. According to CGA results, patients were classified into three groups—fit, medium-fit, and unfit—to receive standard therapy, adjusted treatment, and best supportive care, respectively. We recorded survival and cause of death and used the Fine-Gray regression model to analyze competing causes of death. Results Following CGA, 85 (43%) participants were classified as fit, 57 (29%) as medium-fit, and 53 (28%) as unfit. The univariate 5-year survival rates were 74%, 52%, and 27%. Sixty-one (31%) patients died due to cancer progression (53%), non-cancer-related cause (46%), and unknown reasons (1%); there were no toxicity-related deaths. Fit and medium-fit participants were more likely to die due to cancer progression, whereas patients classified as unfit were at significantly greater risk of non-cancer-related death. Conclusion CGA showed efficacy in predicting survival and discriminating between causes of death in elderly patients with high-risk stage II and stage III resected CRC, with potential implications for shaping the decision-making process for adjuvant therapies.

Funder

Fund for Health Research

AGAUR

Cancer Research Network

Instituto de Salud Carlos III/ISCIII

FEDER funds/European Regional Development Funds

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3