Anterior shoulder dislocation: A bibliometric analysis in the past two decades (2003-2022)

Abstract

Background: Anterior shoulder dislocation is the most common type of shoulder dislocation and is easy to develop into recurrent type, causing economic burden to society. This study uses the bibliometric method to analyze the global research status, hotspots and trends of anterior shoulder dislocation, aiming to promote the exploration of anterior shoulder dislocation.

Methods: The literature on anterior shoulder dislocation in the past two decades were retrieved and downloaded from the Web of Science Core Collection (WOSCC) database. CiteSpace, VOSviewer and bibliometrix package of R software were used to conduct scientific bibliometric analysis of the literature. Finally, some statistical graphics were performed in Graphpad Prism.

Results: A total of 3914 publications related to anterior shoulder dislocation from 2003 to 2022 were retrieved and screened from the WOSCC database. The ranking of the analysis results showed that Provencher MT was the author with the highest frequency of occurrence. Rush University was the most notable contributor. The American Journal of Sports Medicine was the most comprehensive journal. The United States was the most prominent country. Keywords related to surgical treatment were more significant than others.

Conclusion: In the past two decades, the research output on anterior shoulder dislocation have been increasing year by year. The focus has gradually shifted to surgical treatment. Surgical treatment may continue to be the research hotspots in this field in the future.

Keywords: Anterior dislocation; Anterior instability; Bibliometric analysis; Development trend; Global status; Shoulder diseases.

Fig. 1

Flow chart of literature search and screening for anterior shoulder dislocation.

Fig. 2

Overview maps of the literature on anterior shoulder dislocation in the last two decades. A Main information of the literature. B Annual scientific production of the literature. C Document types of the literature.

Fig. 3

Author analysis maps of the literature on anterior shoulder dislocation in the last two decades. A Top 20 authors who contributed the most to the literature. The areas on the chart are not strictly proportional to the values of each entry. B Top author's production over time for the top 20 authors who contributed the most to the literature. The smallest dot and its color depth represent the annual average total citations for the current year of the author, and the darker the color, the higher the annual average total citations for the current year. The size of the darkest dot represents the amount of literature produced by the author in that year, and the larger the dot, the greater the amount of literature produced in that year. C Top 20 most local cited authors in the literature. The color and size of the blue dot are related to the number in the center of the dot. The larger the number, the larger the dot, the darker the blue, and the more citations. The most local cited, in this study, denotes the number of citations in the current database (i.e. WOSCC). D Author local impact of the top 10 most local cited authors.

Fig. 4

Institution and courtry/region analysis maps of the literature on anterior shoulder dislocation in the last two decades. A Top 20 institutions contributing the most to the literature. B Network visualization of institution of the most cited literature. 132 identified the most relevant institutions (minimum number of documents of an organization = 10). The size of the dot is related to the link strength. C Country scientific production map of the literature. The depth of the color represents the number of publications in a country or region. The darker the color, the more publications. D Country collaboration map of the literature. Every two countries that have a cooperative relationship establish a connection based on the number of times they cooperate, and the more the connection, the more the cooperation. E Statistics for corresponding author's country. SCP: single country publications, indicating that the corresponding authors of the publication are from the same country. MCP: multiple country publications, which means that the corresponding authors of the publication come from different countries. F National publication map of the most cited literature. 37 identified the most relevant countries (minimum number of documents of a country = 10).

Fig. 5

Journal analysis maps of the literature on anterior shoulder dislocation in the last two decades. A Top 20 journals with the most publications. B Annual publication volume of the top 5 journals with the most publications. That is, journal growth. C Top 20 most local cited journals in the field of anterior shoulder dislocation.

Fig. 6

Keyword analysis maps of the literature on anterior shoulder dislocation in the last two decades. A Keyword cluster map. The warmth of the color represents the distance of time. The warmer the color, the closer the time. The number is related to the keywords contained in the cluster. The smaller the number, the more keywords included, the more important the cluster field, and the more popular the topic. B Keyword timeline map. The position of the point represents the time of occurrence of a keyword in this cluster, and the size of the point represents the centrality of the keyword. Timeline of Keywords can directly observe the first article of a kind of keywords, hot trend and cooling trend of keywords, centrality keywords and so on. C Burst detection of keywords in the literature. Top 38 keywords with the strongest citation bursts (gamma = 1.0). The red lines represent the specific time period when the keyword became a research hotspot, and the blue lines represent the absence of the keyword.

Fig. 7

Topic trend analysis maps of the literature on anterior shoulder dislocation in the last two decades. A Trend topics from 2002 to 2022. The line segment represents the time when the term of the topic appeared. The size of the dot represents the frequency of occurrence of the term, and the larger the dot, the higher the frequency. B Trend topics from 2018 to 2022. C Trend topics for 2022.

Fig. 8

Keyword co-occurrence analysis maps of the literature on anterior shoulder dislocation. Depending on the item, the same color indicates a certain relevance, while a larger circle indicates that it is a key research question in the field. The distance between the two circles indicates the relevance between the two circles. If the relevance is stronger, the distance is shorter, and if the relevance is weaker, the distance is further. A Co-occurrence map of author keywords in the past two decades. 289 identified the most relevant keywords (minimum number of occurrences of a keyword = 10). B Co-occurrence map of author keywords in 2003. 77 identified the most relevant keywords (minimum number of occurrences of a keyword = 1). C Co-occurrence map of author keywords in 2012. 343 identified the most relevant keywords (minimum number of occurrences of a keyword = 1). D Co-occurrence map of author keywords in 2022. 570 identified the most relevant keywords (minimum number of occurrences of a keyword = 1). E Co-occurrence map of terms in the past two decades. 451 identified the most relevant keywords (minimum number of occurrences of a term = 50).