Performance of the Vulnerable Elders Survey 13 screening tool in identifying cancer treatment modification after geriatric assessment in pre-treatment patients: A retrospective analysis

2019 ◽  
Vol 10 (2) ◽  
pp. 229-234 ◽  
Author(s):  
Leigha Rowbottom ◽  
Allison Loucks ◽  
Rana Jin ◽  
Henriette Breunis ◽  
Ali Taqi Syed ◽  
...  
2020 ◽  
Author(s):  
Dimitrios Giannoulopoulos ◽  
Christos R Iavazzo ◽  
Alexandros Fotiou ◽  
Victoria Psomiadou ◽  
George Vorgias

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e24010-e24010
Author(s):  
Rocio Grajales ◽  
Alicia Gutierrez Mata ◽  
José Enrique Martínez Hernández ◽  
Alejandro Zavala-Calderon

e24010 Background: G8 is a geriatric screening tool designed to identify elderly cancer patients who benefit from a comprehensive geriatric assessment (CGA). Despite the increase in the incidence of cancer in the geriatric patients, there is absence of trials targeting this population. Decisions are often made based on their age and ECOG/Karnofsky scales, which does not reflect the actual role of an elderly patient. It is necessary to identify patients who require a CGA for an accurate evaluation and optimal oncological management. The routine implementation of the G8 geriatric screening tool in the oncology consultation consumes little time and is useful for timely referral of vulnerable patients to specialized care, in order to generate a positive impact on oncological therapy decision-making, improving their outcomes. Our main objective was to determine, using the geriatric screening tool G8, the percentage of patients aged >65 years with breast cancer, which require a CGA. Methods: The G8 questionnaire was applied to patients >65 yo with a diagnosis of breast cancer from December 2019 to May 2020. The baseline characteristics were prospectively collected and included clinical and demographic characteristics. The prognostic value of the functional status of the ECOG was evaluated and compared with that obtained from the G8. The difference between groups was assessed using Pearson's chi square with Yates correction. Additional scores were calculated using the Kaplan-Meier method and compared between groups using the log rank test. The hazard ratio with a 95% confidence interval was estimated using a Cox proportional hazards analysis, considering an abnormal G8 score as an exposure variable. Spearman correlation was made between age and the G8 score obtained. SPSS v22 software (IBM, USA) was used for all analyzes. Results: From December 2019 to May 2020, 357 patients were recruited. The mean age was 73.57 years (SD+7.02 y). The most frequent clinical stage was IIA (27.7%), followed by I (21.8%). 74.2% had an ECOG 1. Regarding treatment, 317 patients (88.8%) were on hormone therapy. The percentage of patients requiring a CGA was 44.3% (n = 158), of which only 55.1% (n = 87) were performed. We found no significant association between the requirement of CGA and clinical stage (p = 0.27) or treatment received (p = 0.345); but according to the ECOG, we obtained statistical significance p < 0.0001. Spearman correlation was performed between age and the G8 score, a correlation of 0.422 was obtained with p < 0.0001.The most affected domains of G8 were polypharmacy (51%) and ingestion (28.3%). Disease-free survival analysis was performed, without finding differences between vulnerable-frail and healthy patients. Conclusions: The G8 is a tool that allows to discern which patients require a CGA, in order to carry out interventions to improve comprehensive cancer treatment, so it should be implemented routinely in the oncology consultation.


2020 ◽  
Vol 11 (3) ◽  
pp. 540-542
Author(s):  
Aude Gouraud-Tanguy ◽  
Anne Sophie Boureau ◽  
Katy Trébern-Launay ◽  
Marie Mathieu ◽  
Laure de Decker ◽  
...  

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