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      Geriatric assessment domains to predict overall survival in older cancer patients: An analysis of functional status, comorbidities, and nutritional status as prognostic factors

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          Abstract

          Cancer treatments for older patients must account for heterogeneity in health and functional status. Guidelines advocate the use of geriatric assessments (GAs), but comprehensive assessments are laborious and the utility of specific GA domains remains unclear. The identification of specific domains as prognostic factors may support survival predictions and treatment decisions. We aimed to evaluate the associations between several GA domains and overall survival in older cancer patients. We linked cancer registry data and administrative claims data from cancer patients residing in Osaka Prefecture, Japan. The subjects were patients aged ≥70 years who received a diagnosis of gastric, colorectal, or lung cancer between 2010 and 2014 at 36 designated cancer care hospitals. The following three GA domains were assessed at cancer diagnosis: functional status through activities of daily living (ADL), comorbidities, and nutritional status through body mass index. Cox proportional hazards models were constructed for the three cancer types to estimate each domain's prognostic effect while adjusting for gender, age, and cancer stage. Adjusted hazard ratios (HRs) for all‐cause mortality were calculated. We identified 5,559, 4,746, and 4,837 patients with gastric, colorectal, and lung cancer respectively. ADL impairment (HRs: 1.39‐3.34, 1.64‐2.86, and 1.24‐3.21 for gastric, colorectal, and lung cancer, respectively), comorbidities (1.32‐1.58, 1.33‐1.97, and 1.19‐1.29 for gastric, colorectal, and lung cancer, respectively), and underweight (1.36, 1.51, and 1.54 for gastric, colorectal, and lung cancer, respectively) were significantly associated with poorer overall survival. In contrast, overweight was significantly associated with improved overall survival (HRs: 0.82 and 0.89 for gastric and lung cancer respectively). The addition of the three domains increased the models’ C‐statistics (0.816 to 0.836, 0.764 to 0.787, and 0.759 to 0.783 for gastric, colorectal, and lung cancer respectively). Incorporating these factors into initial patient evaluations during diagnosis may aid prognostic predictions and treatment strategies in geriatric oncology.

          Abstract

          Comprehensive geriatric assessments aid oncologists’ understanding of heterogeneity in older cancer patients’ health statuses, but the associations between specific domains of geriatric assessments and survival are unclear. In this record‐linked database analysis of older patients with (A) gastric, (B) colorectal, and (C) lung cancer, the authors identified impaired functional status, comorbidities, and underweight at cancer diagnosis as negative prognostic factors; overweight was a positive prognostic factor. Assessments of these factors during cancer diagnosis may support prognostic predictions.

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          The Obesity Paradox in Cancer: a Review

          There is a common perception that excess adiposity, commonly approximated by body mass index (BMI), is associated with reduced cancer survival. A number of studies have emerged challenging this by demonstrating that overweight and early obese states are associated with improved survival. This finding is termed the “obesity paradox” and is well recognized in the cardio-metabolic literature but less so in oncology. Here, we summarize the epidemiological findings related to the obesity paradox in cancer. Our review highlights that many observations of the obesity paradox in cancer reflect methodological mechanisms including the crudeness of BMI as an obesity measure, confounding, detection bias, reverse causality, and a specific form of the selection bias, known as collider bias. It is imperative for the oncologist to interpret the observation of the obesity paradox against the above methodological framework and avoid the misinterpretation that being obese might be “good” or “protective” for cancer patients.
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            Improving the sensitivity of the Barthel Index for stroke rehabilitation.

            The Barthel Index is considered to be the best of the ADL measurement scales. However, there are some scales that are more sensitive to small changes in functional independence than the Barthel Index. The sensitivity of the Barthel Index can be improved by expanding the number of categories used to record improvement in each ADL function. Suggested changes to the scoring of the Barthel Index, and guidelines for determining the level of independence are presented. These modifications and guidelines were applied in the assessment of 258 first stroke patients referred for inpatient comprehensive rehabilitation in Brisbane, Australia during 1984 calendar year. The modified scoring of the Barthel Index achieved greater sensitivity and improved reliability than the original version, without causing additional difficulty or affecting the implementation time. The internal consistency reliability coefficient for the modified scoring of the Barthel Index was 0.90, compared to 0.87 for the original scoring.
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              Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer.

              Older adults are at increased risk for chemotherapy toxicity, and standard oncology assessment measures cannot identify those at risk. A predictive model for chemotherapy toxicity was developed (N = 500) that consisted of geriatric assessment questions and other clinical variables. This study aims to externally validate this model in an independent cohort (N = 250).
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                Author and article information

                Contributors
                morishima.t@oici.jp
                Journal
                Cancer Med
                Cancer Med
                10.1002/(ISSN)2045-7634
                CAM4
                Cancer Medicine
                John Wiley and Sons Inc. (Hoboken )
                2045-7634
                02 July 2020
                August 2020
                : 9
                : 16 ( doiID: 10.1002/cam4.v9.16 )
                : 5839-5850
                Affiliations
                [ 1 ] Cancer Control Center Osaka International Cancer Institute Osaka Japan
                Author notes
                [*] [* ] Correspondence

                Toshitaka Morishima, Cancer Control Center, Osaka International Cancer Institute, 3‐1‐69 Otemae, Chuo‐ku, Osaka 541‐8567, Japan.

                Email: morishima.t@ 123456oici.jp

                Author information
                https://orcid.org/0000-0002-0747-3287
                https://orcid.org/0000-0001-9782-8637
                Article
                CAM43205
                10.1002/cam4.3205
                7433808
                32618120
                2c1cb546-d76d-418a-9afd-20793a784e8e
                © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 February 2020
                : 19 May 2020
                : 21 May 2020
                Page count
                Figures: 2, Tables: 3, Pages: 12, Words: 7901
                Funding
                Funded by: Japan Society for the Promotion of Science , open-funder-registry 10.13039/501100001691;
                Award ID: JP16K19291
                Award ID: JP20K18869
                Funded by: Ministry of Health, Labour and Welfare , open-funder-registry 10.13039/501100003478;
                Award ID: H30‐Gantaisaku‐ippan‐009
                Funded by: Taiju Life Social Welfare Foundation
                Award ID: 52‐11
                Categories
                Original Research
                Clinical Cancer Research
                Original Research
                Custom metadata
                2.0
                August 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.6 mode:remove_FC converted:18.08.2020

                Oncology & Radiotherapy
                geriatric assessment,medical record linkage,multicenter study,neoplasms,nutritional status,physical functional performance

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