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More than half of new cancers are diagnosed in elderly patients, but data from randomized clinical trials do not represent the elderly population. Comprehensive geriatric assessment (CGA) can contribute valuable information to oncologists for risk stratification of elderly cancer patients. Functional impairments, frailty markers, cognitive impairments, and physical disabilities increase the risk for adverse outcomes during cancer treatment. Evidence is accumulating that selected elderly cancer patients benefit from CGA and geriatric interventions. However, perceived barriers to CGA include time, familiarity, cost, and lack of a well-defined procedure to interpret and apply the information. We present a model for rapid selection of elderly who would benefit from CGA using screening tools such as the Vulnerable Elders-13 Survey. We also define important geriatric functional risk factors, including mobility limitation, frailty, and dementia, and demonstrate how brief screening tests can make use of data realistically available to clinical oncologists to determine a stage of aging. Summary tables and a decision tree demonstrate how these data can be compiled to determine the risk for toxicities and to anticipate ancillary support needs.
Rodin et al. (Tue,) studied this question.
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