ReviewFrailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review
Introduction
Although malignant tumours can occur in people of all ages, cancer disproportionately affects those aged 65 years and older,1 and the number of elderly patients with cancer will increase substantially in the coming decades as a result of increasing life expectancy and population ageing. A challenge for cancer specialists is to determine the optimum treatment for elderly patients—a heterogeneous population with regard to comorbidity, physical reserves, disability, and geriatric conditions.
To help guide treatment decisions, two features of geriatric medicine are being incorporated in geriatric oncology: the concept of frailty and the comprehensive geriatric assessment (CGA). Frailty is considered to be a state of decreased physiological reserves, arising from cumulative deficits in several physiological systems and resulting in a diminished resistance to stressors.2, 3 Cancer and treatment are substantial stressors that diminish physiological reserves, so the concept of frailty is particularly relevant for older patients with cancer. As yet, there is no consensus on the definition and measurement of frailty. The original definition of frailty, formulated by Fried and colleagues,4 focused on physical weakness and wasting, but many other definitions and criteria have been postulated, incorporating different aspects of ageing that contribute to diminished physiological reserves.5, 6
In geriatric oncology, a CGA is done to detect disabilities and geriatric conditions that can contribute to frailty. A CGA is a systematic procedure that objectively appraises the health status of elderly people, focusing on somatic, functional, and psychosocial domains,7 with proven value in geriatric medicine.8 However, because a CGA is time-consuming, research is focusing on screening methods to identify fit elderly patients who are able to receive standard cancer treatment based on the complete treatment schedule, and vulnerable patients who should subsequently receive a CGA to guide tailoring of their treatment regimen.9
High sensitivity is crucial for a frailty screening method, to ensure that frail patients will correctly be identified by the approach.10, 11 However, to optimise the time-saving potential of a two-stepped approach, a high specificity is also required, to limit the number of fit patients who are incorrectly identified as frail and who unnecessarily receive a CGA. We did a systematic review to assess the sensitivity and specificity of frailty screening methods for predicting the presence of impairments on a CGA.
Section snippets
Search strategy and selection criteria
We aimed to identify cohort studies that investigated the association between frailty outcome on an established screening method, and frailty score on a complete CGA in patients with cancer, independent of age, cancer type, or stage of disease.
The following search was performed on Dec 28, 2011, in both Medline and Embase: (((“Geriatric Assessment” [Mesh]) OR (gfi[tiab] OR groningen frailty index[tiab]) OR (tfi[tiab] OR tilburg frailty index[tiab]) OR (isar[tiab] OR identification seniors at
Characteristics of included studies
The literature search yielded 3943 citations (1769 from Medline and 2174 from Embase), and an additional 497 studies were identified in conference abstracts. The full text for one abstract was published after the search date, but it contained relevant information and was included. After exclusion of 1279 duplicates and 3139 studies for other reasons (appendix), a total of 22 publications from 14 studies were included in this Review.14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29,
Discussion
A useful frailty screening method in geriatric oncology should have high sensitivity, to ensure that patients deemed fit actually are fit, and sufficient specificity, so that the time-consuming process of a full CGA is optimally utilised.10, 11, 39 In this systematic review, we found that frailty screening methods with the highest sensitivity for predicting outcome on CGA lacked specificity, and vice versa. Additionally, even for screening methods with the highest sensitivity, the negative
Conclusions
Although the G8 and TRST showed the best sensitivity for predicting frailty on full CGA in elderly patients with cancer, they had a poor specificity and negative predictive value. Perhaps it will be possible to develop targeted screening methods with better sensitivity and specificity, once the relative importance of individual geriatric domains and the benefit of appropriate interventions and follow-up are fully elucidated in this patient population. Until then, it might be beneficial for all
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