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Cited by 226

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

A Practical Approach to Geriatric Assessment in Oncology

Rodin, Miriam B., Mohile, Supriya G.·2007·Journal of Clinical Oncology

Abstract

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.

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Metadata

Authors
Rodin, M. B., & Mohile, S. G.
Venue
Journal of Clinical Oncology
Published
2007-05-10
Volume
25
Issue
14
Pages
1936-1944
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2063861120
Cited by
226
References
16
FWCI
6.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Practical Approach to Geriatric Assessment in Oncology. https://app.cochat.ai/papers/10.1200/jco.2006.10.2954
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Rodin, M. B., & Mohile, S. G. (2007). A Practical Approach to Geriatric Assessment in Oncology. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2006.10.2954

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.