Geriatric assessment  was most often completed to describe a patient 's health and functional status .
Geriatric assessment  in the oncology setting is feasible , and some domains are associated with adverse outcomes .
However , there is limited evidence that geriatric assessment impacted treatment decision making .
BACKGROUND Geriatric assessment is a multidisciplinary diagnostic process that evaluates the older adult 's medical , psychological , social , and functional capacity .
No systematic review of the use of geriatric assessment in oncology has been conducted .
The goals of this systematic review were : 1 ) to provide an overview of all geriatric assessment instruments used in the oncology setting ; 2 ) to examine the feasibility and psychometric properties of those instruments ; and 3 ) to systematic ally evaluate the effectiveness of geriatric assessment in predicting or modifying outcomes ( including the impact on treatment decision making , toxicity of treatment , and mortality ) .
Comprehensive geriatric assessment in the decision-making process in elderly patients with cancer: ELCAPA study.
PURPOSE To identify Comprehensive Geriatric Assessment ( CGA ) components independently associated with changes in planned cancer treatment . PATIENTS AND METHODS We prospect ively included 375 consecutive elderly patients with cancer ( ELCAPA01 study ) assessed by geriatricians using the CGA .  Multivariate analysis was used to identify factors associated with changes in the cancer treatment ( intensification , decrease , or delayed > 2 weeks ) . Change was defined as a difference between the initial treatment proposal and the final treatment selected in a multidisciplinary meeting . RESULTS Mean age was 79.6 years ( st and ard deviation [ SD ] , 5.6 years ) , and 197 ( 52.5 % ) were women . The most common tumor location was the digestive system ( 58.7 % ) . The mean number of comorbidities was 4.2 ( SD , 2.7 ) per patient , and the mean Cumulative Illness Rating Scale for Geriatrics score was 11.8 ( SD , 5.3 ) . After the CGA , the initial cancer treatment plan was modified for 78 ( 20.8 % ) of 375 patients ( 95 % CI , 16.8 to 25.3 ) , usually to decrease treatment intensity ( 63 [ 80.8 % ] of 78 patients ) . By univariate analysis , cancer treatment changes were associated with Eastern Cooperative Oncology Group performance status ≥ 2 ( 73.3 % in the group with changes v 41.1 % in the in the group without changes ; P < .001 ) , dependency for one or more activities of daily living ( ADL ; 59.0 % v 24.2 % ; P < .001 ) , malnutrition ( 81.8 % v 51.2 % ; P < .001 ) , cognitive impairment ( 38.5 % v 24.9 % ; P = .023 ) , depression ( 52.6 % v 21.7 % ; P < .001 ) , and greater number of comorbidities ( mean , 4.8 [ SD , 2.9 ] v 4.0 [ SD , 2.6 ] ; P = .02 ) . By multivariate analysis , factors independently associated with cancer treatment changes were a lower ADL score ( odds ratio [ OR ] , 1.25 per 0.5-point decrease ; CI , 1.04 to 1.49 ; P = .016 ) and malnutrition ( OR , 2.99 ; CI , 1.36 to 6.58 ; P = .007 ) . CONCLUSION Functional status assessed by the ADL score and malnutrition were independently associated with changes in cancer treatment
Geriatric assessment  was most often completed to describe a patient 's health and functional status .
Geriatric assessment  in the oncology setting is feasible , and some domains are associated with adverse outcomes .
However , there is limited evidence that geriatric assessment impacted treatment decision making .
BACKGROUND Geriatric assessment is a multidisciplinary diagnostic process that evaluates the older adult 's medical , psychological , social , and functional capacity .
No systematic review of the use of geriatric assessment in oncology has been conducted .
The goals of this systematic review were : 1 ) to provide an overview of all geriatric assessment instruments used in the oncology setting ; 2 ) to examine the feasibility and psychometric properties of those instruments ; and 3 ) to systematic ally evaluate the effectiveness of geriatric assessment in predicting or modifying outcomes ( including the impact on treatment decision making , toxicity of treatment , and mortality ) .