Back to Search Start Over

Bibliometric Analysis of Research on Exercise Intervention for Cancer-Related Cognitive Impairments.

Authors :
Shen, Yuwei
Xu, Ningsheng
Yu, Tingting
Li, Jianan
Source :
Healthcare (2227-9032); Oct2024, Vol. 12 Issue 19, p1975, 18p
Publication Year :
2024

Abstract

Introduction: Cancer treatments frequently lead to cognitive impairments, affecting a substantial global population. Among various approaches, exercise has emerged as a promising strategy for rehabilitation. However, a comprehensive bibliometric analysis of research in this field is lacking. Methods: We conducted a bibliometric analysis of 10,345 articles sourced from the Web of Science database using the R package "bibliometrix". Our analysis examined publication trends, leading countries, journals, authors, institutions, keywords, and prevalent themes. Results: Over the past two decades, research on exercise interventions for cancer-related cognitive impairments (CRCI) has advanced significantly. Nonetheless, challenges persist in elucidating underlying mechanisms, developing innovative strategies, and creating effective tools. Conclusions: The number of publications notably increased from 1998 to 2023, although there has been a recent decline in citations. The United States (US) leads in both publications and citations, while China is showing increasing influence. Using Lotka's Law in our bibliometric analysis, we identified 58 key authors in the field of exercise interventions for CRCI. Leading institutions such as the University of Toronto and Duke University are at the forefront of this research. Although the Journal of Clinical Oncology has fewer publications, it remains influential. Current research focuses on exercise interventions to enhance the quality of life for cancer patients, with particular emphasis on cognitive rehabilitation in breast cancer and the challenges faced by survivors. Future research should delve deeper into intervention mechanisms, behavioral strategies, telemedicine, and precise cognitive assessment tools. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22279032
Volume :
12
Issue :
19
Database :
Complementary Index
Journal :
Healthcare (2227-9032)
Publication Type :
Academic Journal
Accession number :
180271933
Full Text :
https://doi.org/10.3390/healthcare12191975