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DOI: 10.4103/2278-330X.119904
Assessment of cancer care in Indian elderly cancer patients: A single center study
Source of Support: Nill.

Abstract
Background and purpose: This prospective study aimed to assess the profiles of elderly cancer patient to optimize cancer care in Indian setup. The profiles have been compared with that of younger patients in terms of epidemiological, clinical data, co‑morbidity, treatment, toxicity, clinical outcome, and survival pattern. Materials and Methods: The study comprised cancer patients attending radiotherapy outdoor (November 2005 to June 2006). There were 104 patients of age ≥60 years (elderly group) and 121 patients of 45-59 years (younger group). Results: Elderly group had median age 65 years (60-88 years) with M:F = 1:1. The younger group had median age 50 years (45-59 years) with M:F = 1:2. Elderly had higher proportion of gastrointestinal and genito‑urinary tract malignancies. Younger group had higher proportion of breast, lymphoma, and brain tumor. 13% had co‑morbidity, 50% received treatment, 27% were treated with radiotherapy with or without surgery, and two‑third of these cases belong to elderly group. Majority tolerated treatment well. 10% had significant grade of toxicity. 57% of elderly patients did not accept and one‑fourth of all cases did not complete the prescribed treatment. 88% cases were responders of which 70% showed complete response. There were no differences between two groups. At 12 months 35% of treated patients came for follow‑up. At first 12 months, 60-70% were alive without disease. Conclusion: There were differences between two groups in terms of performance status, treatment acceptance, and treatment modality prescribed. Elderly patients deserve same opportunity as younger patients for treatment and survival options from the oncologist.
Key words
Cancer care optimization - comparison of profiles - Indian elderly and younger cancer patients - geriatric - elderPublication History
Article published online:
31 December 2020
© 2013. MedIntel Services Pvt Ltd. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/.)
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