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 .
Comprehensive geriatric assessment and comorbidities predict survival in geriatric oncology
Objectives : The comprehensive geriatric assessment ( CGA ) can detect geriatric problems and potentially improve survival , physical , and cognitive state of patients , as well as increase an older person ’s chances of staying at home longer . In older people , the number and severity of comorbidity increase with age and are an important determinant of survival . The aim of the study was to assess to which extent CGA and comorbidities could be seen as determinants of survival . Material s and methods : This study analyzed data from two hospitals that included geriatric assessment s of patients aged 70 years and more with cancer linked to mortality .  Logistic regression was used to model survival predictors . Results : Two hundred and five various cancer patients ( 47 % females ) with a median age of 79 were included . They presented with a lot of undiagnosed geriatric problems . Screening scales ( G8 , SEGA ) , cognitive , and psychological disorders , and low albumin levels appeared to be independent survival factors . A frailty profile classification was associated with higher mortality . The average comorbidity was grade d 2 according to the Charlson scale . By the geriatric cumulative illness rating scale ( CIRS-G ) , the arithmetic average number of affected organ systems was 5 ( range 0–10 ) in all patients . Cardiovascular disorders were the most common comorbidity . Renal insufficiency and anaemia were negatively associated with survival . Conclusion : Old cancer patients present a lot of comorbidities and newly diagnosed geriatric problems . Several tools provide determinants of survival in old cancer patients . Prospect i ve trials evaluating the utility of a CGA to guide interventions to improve quality of cancer care in older adults are justified
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 .