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 .
Predictors of 1-Year Mortality in a Prospective Cohort of Elderly Patients With Cancer.
BACKGROUND Mortality prediction is crucial to select the optimal treatment in elderly cancer patients . Our objective was to identify cancer-related factors and Comprehensive Geriatric Assessment ( CGA ) findings associated with 1-year mortality in elderly in patients and out patients with cancer . METHODS We prospect ively included patients aged ≥70 years who had solid or hematologic malignancies and in whom the CGA was performed by geriatricians in two French teaching hospitals . We identified independent predictors of 1-year mortality after study inclusion , using multivariate Cox models stratified on inpatient/outpatient status . We built three multivariate Cox models , since strong correlations linked activities of daily living ( ADL ) , Eastern Cooperative Oncology Group Performance Status ( ECOG-PS ) , and timed get-up- and -go test ( GUG ) results ; and since physicians ' preferences for these three assessment s vary . A sensitivity analysis was performed using multiple imputation . RESULTS Of the 993 patients ( mean age , 80.2 years ; 51.2 % men ) , 58.2 % were out patients and 46 % had metastatic disease . Colorectal cancer was the most common malignancy ( 21.4 % ) . Mortality rates after 6 and 12 months were 30.1 % and 41.2 % , respectively . In all models , tumor site and metastatic status ( p < .001 ) , age > 80 years ( p < .05 ) , higher number of severe comorbidities ( p < .05 ) , and malnutrition ( p < .001 ) were associated with death independently from impaired ECOG-PS ( p < .001 ) , ADL ( p < .001 ) , and GUG ( p < .001 ) . The adverse effect of metastatic status differed significantly across tumor sites , being greatest for breast and prostate cancer ( p < .001 ) . Multiple imputation produced similar results . CONCLUSION The predictors of 1-year mortality identified in our study may help physicians select the optimal cancer-treatment strategy in elderly patients
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 .