| ISSN |
2218-4333 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Nursing |
| Manuscript Type |
Minireviews |
| Article Title |
Application of comprehensive geriatric assessment in oncology nursing: A literature review on optimizing treatment decisions and patient outcomes
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Cheng-Jin Li, Shu-Mei Gong, Yu-Juan Shi, Ya-Nan Guo, Na-Na Song, Li-Min Jiang, Yan-Yan Wang, Chang-Jiang Zhang, Yao-Bin Wang, Zhi-Peng Li, Peng Wang, Yu-Hua Ruan, Zhen Shi, Hao-Yu Li, Qiu-Jun Zhang and Wei-Ping Fu |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Henan Province Key Research and Development Program |
231111311000 |
| Henan Provincial Science and Technology Research Project |
232102310411 |
| Henan Province Medical Science and Technology Key Project |
LHGJ20220566, LHGJ20240365 |
| Henan Province Medical Education Research Project |
WJLX2023079 |
| Zhengzhou Medical and Health Technology Innovation Guidance Program |
2024YLZDJH022 |
|
| Corresponding Author |
Wei-Ping Fu, Assistant Professor, Associate Professor, Chief Physician, Second Department of Orthopedics, The Fifth Affiliated Hospital of Zhengzhou University, No. 3 Kangfuqian Street, Erqi District, Zhengzhou 450052, Henan Province, China. fwp_2024@139.com |
| Key Words |
Artificial intelligence; Comprehensive geriatric assessment; Elderly cancer patients; Multidisciplinary collaboration; Oncology nursing; Personalized care plans; Precision medicine; Quality of life |
| Core Tip |
Comprehensive geriatric assessment (CGA) is crucial in optimizing oncology nursing for elderly cancer patients. CGA enables a thorough evaluation of physical, psychological, social, and functional status, allowing for more personalized treatment plans and improving patient outcomes. The integration of CGA into oncology care helps in identifying high-risk patients, reducing treatment-related side effects, and enhancing quality of life. Despite its proven benefits, challenges in implementation remain, such as resource limitations and the need for standardized procedures. Future advancements may include the integration of artificial intelligence and precision medicine to further refine CGA’s effectiveness in geriatric oncology care. |
| Publish Date |
2025-03-26 10:16 |
| Citation |
<p>Li CJ, Gong SM, Shi YJ, Guo YN, Song NN, Jiang LM, Wang YY, Zhang CJ, Wang YB, Li ZP, Wang P, Ruan YH, Shi Z, Li HY, Zhang QJ, Fu WP. Application of comprehensive geriatric assessment in oncology nursing: A literature review on optimizing treatment decisions and patient outcomes. <i>World J Clin Oncol</i> 2025; 16(4): 104785</p> |
| URL |
https://www.wjgnet.com/2218-4333/full/v16/i4/104785.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v16.i4.104785 |
