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. 2024 Oct 24:15:1457625.
doi: 10.3389/fpsyg.2024.1457625. eCollection 2024.

Osteoarthritis with depression: mapping publication status and exploring hotspots

Meng Zhang #  1 , Hao Li #  2   3   4 , Qingshan Li  3 , Zhen Yang  5 , Haobin Deng  6 , Yingying Xu  3   4 , Quanyi Guo  2   3   4
Affiliations

Osteoarthritis with depression: mapping publication status and exploring hotspots

Meng Zhang et al. Front Psychol. .

Abstract

Depression is a common psychological complication in osteoarthritis (OA) patients, and its incidence gets more and more attention year by year worldwide. This study investigates the association between OA and depression through a bibliometric analysis of published studies. It aims to identify leading authors, institutions, and countries to highlight research hotspots and suggest potential future directions. We collected publications on OA and depression from 1994 to 2024 using the Web of Science Core Collection (WOSCC) database. Bibliographic information, including authorship, country of origin, citation frequency, and visualizations, was generated using VOSviewer, R software, and CiteSpace. A total of 2,342 articles were identified. The United States led in publications with 906 articles, Boston University was the most prolific institution with 56 publications, BMC Musculoskeletal Disorders was the top journal with 71 publications, and Stefania Maggi was the most productive author with 19 publications. The primary research hotspots identified were: "The relationship between depression and OA," "Disability and prevalence," and "Characteristics of older people suffering depression after OA." Predicted future research frontiers include: "Treating depression in OA patients with multimorbidity," "Psychometric properties of instruments for assessing depression and anxiety in OA patients," "Depression or anxiety in patients with surgical intervention," and "Other mental diseases in OA patients." This bibliometric analysis underscores the importance of understanding the link between OA and depressive disorders, potentially guiding new research directions.

Keywords: CiteSpace; bibliometric analysis; depression; evolving trends; osteoarthritis.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart illustrating the literature selection process.
Figure 2
Figure 2
Global trends and countries/regions contributing to the research field regarding osteoarthritis with depression from 1994 to 2024. (A) The annual number of publications related to osteoarthritis with depression from 1994 to 2024. (B) A world map depicting the distribution of osteoarthritis with depression from 1994 to 2024. The total number (C) and annual number (D) of publications in the top 10 most productive countries from 1994 to 2024.
Figure 3
Figure 3
Mapping of countries/regions and institutions associated with osteoarthritis with depression. (A) Country/regional collaboration analysis based on CiteSpace. (B) Mapping of the 47-country with >5 publications. (C) The geographical network map based on R software. (D) Mapping of the 60-institution collaboration analysis. The nodes represent institutions, and the lines connect them. The number of publications grows proportionally to the size of the nodes. The lines between the nodes represent the cooperation relationship. (E) The research category network map of osteoarthritis with depression.
Figure 4
Figure 4
Mapping of authors and journals in studies on osteoarthritis with depression. (A) Collaboration analysis of the authors network based on R software. (B) 57-author with publications more than 8. (C) Journals collaboration analysis. (D) Strategic theme map based on R software.
Figure 5
Figure 5
Mapping of cited references in studies on osteoarthritis with depression. (A) Mapping of the reference co-citation network in this field. (B) Mapping of the 147-refencence with citation more than 100 in this field. (C) Reference growth and decline, the larger the node area, the more important the reference in a given year.
Figure 6
Figure 6
Keyword analysis. (A) Co-occurrence analysis of the keyword network based on R software. (B) Distribution of keywords according to average publication year (blue: earlier, yellow: later) by VOSviewer. (C) Clustering analysis of the keyword network based on CiteSpace. (D) Keyword timeline visualization from 1994 to 2024 by CiteSpace.
Figure 7
Figure 7
Top 25 keywords with the strongest citation bursts of publications related to osteoarthritis with depression.
Figure 8
Figure 8
Schematic illustration of research frontiers in the future about osteoarthritis with depression.
See this image and copyright information in PMC

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