2015-2025年烟雾病相关研究:基于VOSviewer和CiteSpace的文献计量学分析OA

Objective To investigate the current status,research hotspots and trends in Moyamoya disease from 2015 to 2025.Methods Relevant articles on Moyamoya disease included in the Web of Science database from January 1,2015 to October 2,2025 were retrieved.Special publication types such as contents page and editorials were excluded,while only original research articles,reviews,brief commentaries,and case reports were included.The search query was:TS(topic)="moyamoya disease OR moyamoya",with the language restricted to English.The bibliographic records of all retrieved documents were downloaded in plain text format for further data processing.EndNote 21.3 was used for data cleaning,including deduplication and correction of erroneous information.VOSviewer 1.6.20 was employed to perform co-occurrence analysis of countries,authors,and keywords.Literature was included in the co-occurrence analysis if the country had≥2 publications,the author had≥15 publications,or the keyword appeared≥15 times.VOSviewer 1.6.20 was used to calculate the association strength between keywords through counting the number of journals with two co-occurring keywords.The association strength of each keyword was the sum of the strength values of all its links.Keywords appearing≥5 times were statistically analyzed and ranked in descending order of association strength.The cleaned data were imported into CiteSpace 6.3.R1,which was used to perform a time-zone overlay analysis of author co-occurrence.The development and changes in Moyamoya disease research from 2015 to 2025 were explored through keyword co-occurrence burst detection combined with publication time.In this study,the publication counts for countries,institutions,and authors were all based on frequency of appearance.Author appearances included the first author,corresponding author,and co-authors.Institutional appearances included all affiliated institutions listed for the authors.For authors with potentially identical names,suspicious cases were identified based on analysis results.The author name and"moyamoya disease"were used as co-keywords for retrieval,followed by manual review of the retrieved literature to differentiate authors with identical names based on their affiliated institutions.Publication counts and total citation counts were then calculated separately for each distinct author.The total citation count was the sum of citations for all publications in which the author appeared.Results(1)A total of 2 700 publications on Moyamoya disease meeting the inclusion criteria were retrieved from the Web of Science database for 2015-2025.China ranked first in terms of publication count(784),followed by Japan(620)and the United States(614).The country co-occurrence cluster map indicated that China,the United States,and Japan formed the three core hubs.The countries with the highest association strengths with others were the United States(263),China(106),and Japan(83),ranked in descending order.Publishing countries showed distinct regional clustering characteristics,with close associations among European countries such as Germany,Italy,France,and Switzerland.(2)Among institutions publishing in the Web of Science database from 2015 to 2025,Capital Medical University had the highest number of publications(220),followed by the China National Clinical Research Center for Neurological Diseases(108)and the Stroke Research Institute,Beijing Institute for Brain Disorders(105).(3)Core author groups in the Web of Science database from 2015 to 2025 included Zhang Dong(127 publications),Wang Rong(110),and Zhang Yan(93),among others.The author collaboration network revealed that it primarily consisted of 13 groups,with the collaboration networks led by Zhang Dong,Wang Rong,and Susumu Miyamoto being particularly prominent.(4)Among Moyamoya disease-related publications in the Web of Science database from 2015 to 2025,there were 301 keywords appearing≥5 times.Excluding keywords containing"moyamoya"and"moyamoya disease",the top three keywords by frequency were"stroke"(315 times),"vascular disorders"(181 times),and"revascularization"(169 times).VOSviewer keyword clustering analysis identified seven main clusters:a blue cluster centered on"stroke",a red cluster on"genetics",a purple cluster on"magnetic resonance imaging",a green cluster on"cerebral revascularization",a cyan cluster on"biomarker",a yellow-green cluster on"perfusion",and a brown cluster on"risk factor".(5)CiteSpace keyword burst detection showed the keyword with the highest burst strength was"brain",followed by"pial synangiosis".The most recent keyword with a burst was"machine learning",starting in 2024.The VOSviewer time-overlay keyword clustering analysis indicated that literature published from 2015 to 2020 primarily focused on themes such as"genetics""intracerebral hemorrhage"and"ec-ic bypass".In contrast,the research focus of literature published from 2021-2025 shifted towards"stroke""biomarker""magnetic resonance imaging""cerebral revascularization""cerebral blood flow"and"perfusion".Conclusions From 2015 to 2025,the number of published articles on Moyamoya disease worldwide has shown a steady upward trend year by year.The research focuses on the etiology and pathological mechanism,diagnosis,treatment,and prognostic evaluation and management of Moyamoya disease.The main research institutions are medical and scientific research located in China,Japan,Korea and America.Biomarkers,cerebral perfusion and perfusion imaging,risk factors,MRI,and revascularization techniques of Moyamoya disease may become the research hotspots and trends in the future.