Geriatric Assessment Predicts Survival and Competing Mortality in Elderly Patients with Early Colorectal Cancer: Can It Help in Adjuvant Therapy Decision‐Making?. (9th May 2017)

• Record Type: Journal Article
• Authors: Antonio, Maite; Saldaña, Juana; Carmona‐Bayonas, Alberto; Navarro, Valentín; Tebé, Cristian; Nadal, Marga; Formiga, Francesc; Salazar, Ramon; Borràs, Josep Maria
• Is Part Of: Oncologist. Volume 22:Number 8(2017)
• Page Start: 934
• Page End: 943
• Publication Date: 2017-05-09
• Subjects: Elderly -- Colorectal cancer -- Adjuvant therapy -- Decision‐making -- Comprehensive geriatric assessment -- Competing risk model; Oncology -- Periodicals; Tumors -- Periodicals; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Oncology; Tumors; Neoplasms; Electronic journals; Periodicals; Periodicals; 616.994
• DOI: 10.1634/theoncologist.2016-0462
• Languages: English
• ISSNs: 1083-7159

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. Abstract : This prospective study evaluated the efficacy of comprehensive geriatric assessment in predicting survival and discriminating between causes of death in elderly patients with high‐risk stage II and stage III colorectal cancer who underwent curative resection to support the decision‐making process related to adjuvant therapy.