Published online Aug 16, 2024. doi: 10.12998/wjcc.v12.i23.5382
Revised: June 20, 2024
Accepted: June 26, 2024
Published online: August 16, 2024
Processing time: 53 Days and 20.3 Hours
Intracranial aneurysms (IAs) pose significant health risks, attributable to their potential for sudden rupture, which can result in severe outcomes such as stroke and death. Despite extensive research, the variability of aneurysm behavior, with some remaining stable for years while others rupture unexpectedly, remains poorly understood.
To employ bibliometric analysis to map the research landscape concerning risk factors associated with IAs rupture.
A systematic literature review of publications from 2004 to 2023 was conducted, analyzing 3804 documents from the Web of Science Core Collection database, with a focus on full-text articles and reviews in English. The analysis encom
Analysis uncovered a total of 3804 publications on IA rupture risk factors between 2006 and 2023. Research interest surged after 2013, peaking in 2023. The United States led with 28.97% of publications, garnering 37706 citations. Notable United States-China collaborations were observed. Capital Medical University produced 184 publications, while Utrecht University boasted a citation average of 69.62 per publication. “World Neurosurgery” published the most papers, contrasting with “Stroke”, the most cited journal. The PHASES score from “Lancet Neurology” emerged as a vital rupture risk prediction tool. Early research favored endo
This study assesses global IA research trends and highlights crucial gaps, guiding future investigations to improve preventive and therapeutic approaches.
Core Tip: This bibliometric analysis provides a comprehensive overview of research on risk factors associated with intracranial aneurysms (IAs) rupture. Highlighting global trends and collaborations, it identifies key publications, influential journals, and evolving research themes. Notably, the study emphasizes the increasing research interest post-2013 and the pivotal role of tools like the PHASES score in predicting rupture risks. By synthesizing two decades of data, this analysis offers valuable insights into the dynamic landscape of IAs studies, guiding future investigations and enhancing preventive and therapeutic strategies.