Global Research Progress of Idiopathic Scoliosis Based on Bibliometric and Visualization Analysis

This paper conducted a scientometric investigation of research evolution and worldwide patterns in idiopathic scoliosis(IS) through bibliographic mapping and temporal trend visualization. Relevant literature on idiopathic scoliosis published between January 1, 2014, and January 1, 2025, was retrieved from the Web of Science. Bibliometric methods were employed to analyze publication years, journal distribution, author information, and keywords. Additionally, VOSviewer version 1.6.20 was used to identify key nodes and clusters, analyze collaboration networks and co-citation relationships, and the research overview of IS in recent years was monitored. The study’s final synthesis comprised 1572 eligible publications. It was found that global research and publication output on idiopathic scoliosis initially increased and then declined, with a concentration among specific research institutions and author groups. Hot topics included early screening, diagnosis, and treatment methods for idiopathic scoliosis. The United States dominated global research output in this domain, demonstrating both the highest citation frequency and most prominent h-index. Spine and European Spine Journal had the highest publication volumes. Nanjing University, The Chinese University of Hong Kong, The University of Hong Kong, and Keio University were the four institutions with the most significant contributions. The research in question can be meticulously classified into four primary categories: studies on mechanisms, empirical clinical research, advanced tissue engineering, and analysis of risks associated with the treatment. Current scientometric trajectories suggest a sustained growth pattern in IS-related publications, with the United States maintaining its position as the predominant knowledge producer. Most studies focus on surgical treatment approaches for IS, indicating that research hotspots in this field are gradually shifting toward the optimization of clinical therapies.