本文へ移動

論文 ·日本語 ·未確認

Validity of the Cancer and Aging Research Group Predictive Tool in Older Japanese Patients

Hirotaka Suto Yumiko Inui Atsuo Okamura

刊行年
2022-04-21
収録
『Cancers』 14(9) pp. 2075-2075
出版
Multidisciplinary Digital Publishing Institute
言語
英語
OpenAlex
W4224242353
DOI
10.3390/cancers14092075
PubMed
35565205
ISSN
2072-6694
URL
https://www.mdpi.com/2072-6694/14/9/2075/pdf?version=1650534471

要旨

Background: This study aimed to evaluate the usefulness of the Cancer and Aging Research Group (CARG) predictive tool in older Japanese patients with cancer. Methods: Patients aged 65 years or older with solid tumors treated with new anticancer regimens in Kakogawa Central City Hospital between April 2016 and March 2019 were included. Grade 3 or higher risks of developing chemotherapy-related adverse events (CRAEs) were calculated using the tool (low-, intermediate-, or high-risk scores). The association between grade 3−5 CRAE incidence during the first course of each regimen and the calculated risk or the patient characteristics was evaluated. The difference in the incidences of CRAEs between the groups was evaluated by Fisher’s exact test. Results: This study examined 76 patients (mean age: 71 (65−82) years). The incidence of grade 3−5 CRAE was 38%, 55%, and 76% in patients classified as low, medium, and high CARG risk scores (p = 0.035), and the incidence of severe non-hematological toxicities was 4%, 31%, and 52% (p < 0.01), respectively. Eastern Cooperative Oncology Group performance status and age were not associated with chemotherapy toxicity. Conclusions: The CARG predictive tool was valid, suggesting its usefulness in optimizing chemotherapy outcomes in older patients with cancer.

主題

この書誌の出所

  • openalex— W4224242353(2026-08-14取得)

引用

Hirotaka Suto・Yumiko Inui・Atsuo Okamura(2022-04-21) Validity of the Cancer and Aging Research Group Predictive Tool in Older Japanese Patients 『Cancers』 14(9) pp. 2075-2075 Multidisciplinary Digital Publishing Institute

Suto2022ValidityCancerAging
書誌 67,320件 語別索引 17,251件 資源 113件 研究者 303名 JSON