Visual Analysis of Hip Fracture Complicated with Sarcopenia based on Citespace

Abstract

Objective: To analyse the research hotspots and trends of hip fracture complicated with sarcopenia. Methods: The Web of Science Core Collection database was searched from 1 January 2013 to 31 December 2023, and the relevant literature on hip fracture complicated with sarcopenia was searched, with CiteSpace 6.4.R 4 software used for data processing and analysis. Publication trends, keyword co-occurrence and clustering, and emergent word analysis were used to draw a map. Results: A total of 591 articles were retrieved from the Web of Science Core Collection, and the number of papers published in the field of hip fracture complicated with sarcopenia increased year by year. Currently, the research hotspots in this field mainly focus on the identification and diagnosis of hip fracture complicated with sarcopenia, the early intervention and management of key populations, and the promotion of rapid recovery in patients. Conclusion: In recent years, more attention has been paid to the field of hip fracture complicated with sarcopenia both domestically and internationally, and artificial intelligence technology (AI) has played an active role in this field, becoming a frontier trend in research. Predicting individuals with sarcopenia through AI reduces the incidence of hip fracture and sarcopenia. It is of great significance to guide patients with hip fracture and sarcopenia in utilising nursing applications for personalised care and rehabilitation treatment, thus reducing or even preventing the occurrence of sarcopenia. This is of great significance for improving the health level of the elderly population, enhancing the quality of life of older individuals, and achieving healthy aging.