Copyright
©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Application of comprehensive geriatric assessment in oncology nursing: A literature review on optimizing treatment decisions and patient outcomes
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, Wei-Ping Fu
Cheng-Jin Li, 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, Wei-Ping Fu, Second Department of Orthopedics, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Shu-Mei Gong, Director of Medical Association Construction and Management Office, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Yan-Yan Wang, Henan Key Laboratory for Helicobacter pylori and Digestive Tract Microecology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Zhi-Peng Li, Tianjian Advanced Biomedical Laboratory, Zhengzhou University, Zhengzhou 450001, Henan Province, China
Qiu-Jun Zhang, Department of the Nursing, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Co-first authors: Cheng-Jin Li and Shu-Mei Gong.
Co-corresponding authors: Qiu-Jun Zhang and Wei-Ping Fu.
Author contributions: Li CJ and Gong SM contributed equally to this manuscript as co-first authors. Li CJ was responsible for conceptualization, methodology, and writing of the original draft; Gong SM handled software; Shi YJ and Guo YN conducted formal analysis; Song NN and Jiang LM contributed to methodology; Wang YY and Wang YB supervised the work; Li ZP and Wang P performed validation; Ruan YH, Shi Z, and Li HY managed data curation; Zhang CJ contributed to project administration; Zhang QJ and Fu WP oversaw visualization, formal analysis, and manuscript review and editing. All authors participated in drafting the manuscript and have read, contributed to, and approved the final version. Zhang QJ and Fu WP are co-corresponding authors who made significant contributions to distinct and critical aspects of the study, including collaborative writing, final review, and obtaining funding. Fu WP led formal analysis, data visualization, and methodological refinement, while Zhang QJ provided supervision, project direction, and critical revisions, ensuring the manuscript’s accuracy and clarity. Both were instrumental in securing key grants (e.g., Henan Province Key Research and Development Program and Henan Province Medical Science and Technology Key Project), and their leadership and collaboration were indispensable for shaping the study and bringing it to completion.
Supported by Henan Province Key Research and Development Program, No. 231111311000; Henan Provincial Science and Technology Research Project, No. 232102310411; Henan Province Medical Science and Technology Key Project, No. LHGJ20220566 and No. LHGJ20240365; Henan Province Medical Education Research Project, No. WJLX2023079; and Zhengzhou Medical and Health Technology Innovation Guidance Program, No. 2024YLZDJH022.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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:
https://creativecommons.org/Licenses/by-nc/4.0/ Corresponding author: Wei-Ping Fu, Assistant 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
Received: January 1, 2025
Revised: January 23, 2025
Accepted: March 10, 2025
Published online: April 24, 2025
Processing time: 84 Days and 17.5 Hours
With the global population aging, the care of elderly cancer patients has become increasingly complex and significant. Comprehensive geriatric assessment (CGA), a multidimensional evaluation tool, has been widely implemented in oncology nursing to enhance the precision of treatment decisions and improve patient outcomes. This review examines the application of CGA in oncology nursing, drawing on literature published between 2010 and 2024 in major databases using keywords such as “Comprehensive Geriatric Assessment” and “Oncology Nursing”. It highlights how CGA contributes to optimizing treatment selection, monitoring the treatment process, and improving patients’ quality of life and long-term outcomes. CGA provides a comprehensive evaluation of elderly cancer patients, including physical, psychological, and social aspects, enabling the identification of high-risk patients and reducing treatment-related side effects and complications. It also offers a critical foundation for developing personalized care plans. The article discusses various practical examples of CGA implementation across different countries and regions, including multidisciplinary collaborative models in France, the United States, and Australia, demonstrating CGA’s flexible application in diverse healthcare settings. Although significant progress has been made in applying CGA in oncology nursing, numerous challenges remain in its implementation, such as resource limitations and insufficient personnel training. Future research will focus on integrating CGA with emerging technologies, such as artificial intelligence and precision medicine, to further improve the quality of care and treatment outcomes for elderly cancer patients. By summarizing the current status and challenges of CGA in oncology nursing, this review provides guidance for future research and clinical practice, emphasizing the importance of advancing CGA application to meet the growing demands of elderly oncology care.
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.
