| Objective: To make a quantitative analysis of literature related to prehabilitation between 2010 and 2019, draw knowledge maps, reveal research hotspots and trends in prehabilitation fields, and provide a prediction method for rehabilitation treatment. Methods: Web of Science Core Collection database was taken as the data source, and the visual atlas of disciplines and keywords was drawn by using citation analysis method and information visualization technology. Results: A total of 3,117 articles were retrieved, and the annual number of articles was on the rise. The visual atlas shows that prehabilitation research involves many disciplines and fields, which are closely related to surgery, orthopedics, oncology and more. Research hotspots include rehabilitation, physical therapy, quality of life, etc. The research trend mainly focuses on “multicentric” and “preoperative evaluation”. Conclusion: This paper reveals the frontier and hotspot of prehabilitation research, verifies the effectiveness of visual software in prehabilitation research, and provides a new idea for risk factor management and complication management of prehabilitation. It suggests that we can further use big data analysis to build a model, and take predictive intervention according to the risk factors of patients, so as to realize the transformation from “prehabilitation” to “predictive rehabilitation”. |
