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 .
"Timed Up & Go": A Screening Tool for Predicting 30-Day Morbidity in Onco-Geriatric Surgical Patients? A Multicenter Cohort Study
Objective To determine the predictive value of the “ Timed Up & Go ” ( TUG ) , a vali date d assessment tool , on a prospect i ve cohort study and to compare these findings to the ASA classification , an instrument commonly used for quantifying patients ’ physical status and anesthetic risk . Background In the onco-geriatric surgical population it is important to identify patients at increased risk of adverse post-operative outcome to minimize the risk of over- and under-treatment and improve outcome in this population . Methods 263 patients ≥70 years undergoing elective surgery for solid tumors were prospect ively recruited . Primary endpoint was 30-day morbidity . Pre-operatively TUG was administered and ASA-classification was registered . Data were analyzed using multivariable logistic regression analyses to estimate odds ratios ( OR ) and 95 % confidence intervals ( 95%-CI ) . Absolute risks and area under the receiver operating characteristic curves ( AUC ’s ) were calculated . Results 164 ( 62.4 % ) patients ( median age : 76 ) underwent major surgery . 50 ( 19.5 % ) patients experienced major complications . 50.0 % of patients with high TUG and 24.8 % of patients with ASA≥3 experienced major complications ( absolute risks ) . TUG and ASA were independent predictors of the occurrence of major complications ( TUG : OR 3.43 ; 95%-CI = 1.13–10.36 . ASA1 vs. 2:OR 5.67 ; 95%-CI = 0.86–37.32 . ASA1 vs. 3&4:OR 11.75 ; 95%-CI = 1.62–85.11 ) . AUCTUG was 0.66 ( 95%-CI = 0.57–0.75 , p<0.001 ) and AUCASA was 0.58 ( 95%-CI = 0.49–0.67 , p = 0.09 ) . Conclusions Twice as many onco-geriatric patients at risk of post-operative complications , who might benefit from pre-operative interventions , are identified using TUG than when using ASA
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 .