All eight domains were predictive for at least one of the investigated outcomes but the results were quite variable across studies .
Physical function and nutritional status were the domains most often associated with mortality and systemic treatment-related outcomes , and the domain physical function was most often associated with postoperative complications .
Overall , this review demonstrates that the GA should minimally consist of physical function and nutritional status , when the aim is to predict patients -related outcomes of older patients with cancer , although the results are quite heterogeneous .
BACKGROUND A geriatric assessment ( GA ) is increasingly used to help guide treatment decisions in older patients with cancer .
However , there is no consensus regarding which domains should be included in the GA .
In addition , the field of geriatric oncology moves very fast and as a result many new studies have been published since the last review in 2015 .
Therefore , the objective of this systematic review is to evaluate which domains of the GA could predict patient-related treatment outcomes of older patients with cancer and thereby should be included in a GA .
Functional decline in older patients with cancer receiving first-line chemotherapy.
PURPOSE To determine factors associated with early functional decline during first-line chemotherapy in older patients . PATIENTS AND METHODS Patients age ≥ 70 years receiving first-line chemotherapy for cancer were prospect ively considered for inclusion across 12 centers in France . Functional decline was defined as a decrease of ≥ 0.5 points on the Activities of Daily Living ( ADL ) scale between the beginning of chemotherapy and the second cycle . Factors associated with functional decline were sought from pretreatment abbreviated comprehensive geriatric assessment , including ADL , Instrumental ADL ( IADL ) , Mini-Nutritional Assessment ( MNA ) , Mini-Mental State Examination ( MMSE ) , Geriatric Depression Scale ( GDS15 ) , and Timed Get Up and Go ( GUG ) test  , and from comorbidities ( Cumulative Illness Rating Scale-Geriatrics ) , MAX2 index , and baseline biologic and clinical information . RESULTS Of 364 included patients , 50 experienced functional decline ( 16.7 % ; median , 0.5 points ) . Abnormal preadmission performance status , IADL , GDS15 , MMSE , GUG , and MNA were associated with increased likelihood of functional decline ( univariate analysis ) . In the multivariate model adjusted for baseline ADL and MAX2 index , high baseline GDS ( odds ratio [ OR ] , 2.16 ; 95 % CI , 1.09 to 4.30 ; P = .03 ) and low IADL scores ( OR , 2.87 ; 95 % CI , 1.06 to 7.79 ; P = .04 ) were independently associated with increased risk of functional decline . CONCLUSION Our results outline associations between baseline depression , instrumental dependencies , and early functional decline  during chemotherapy for older patients . ADL should be sequentially evaluated early during treatment . Baseline evaluation of GDS15 and IADL may be proposed to anticipate this event
All eight domains were predictive for at least one of the investigated outcomes but the results were quite variable across studies .
Physical function and nutritional status were the domains most often associated with mortality and systemic treatment-related outcomes , and the domain physical function was most often associated with postoperative complications .
Overall , this review demonstrates that the GA should minimally consist of physical function and nutritional status , when the aim is to predict patients -related outcomes of older patients with cancer , although the results are quite heterogeneous .
BACKGROUND A geriatric assessment ( GA ) is increasingly used to help guide treatment decisions in older patients with cancer .
However , there is no consensus regarding which domains should be included in the GA .
In addition , the field of geriatric oncology moves very fast and as a result many new studies have been published since the last review in 2015 .
Therefore , the objective of this systematic review is to evaluate which domains of the GA could predict patient-related treatment outcomes of older patients with cancer and thereby should be included in a GA .