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. 2025 Apr 16:18:2141-2153.
doi: 10.2147/JMDH.S515144. eCollection 2025.

Evidence-Based Bibliometric Analysis of Acupuncture in Functional Dyspepsia: Clinical Efficacy and Research Trends

XinJing Wei #  1 , XiaoFei Jia #  2 , XiaoLan Su  3
Affiliations

Evidence-Based Bibliometric Analysis of Acupuncture in Functional Dyspepsia: Clinical Efficacy and Research Trends

XinJing Wei et al. J Multidiscip Healthc. .

Abstract

Objective: The method of bibliometric analysis was used to visualize the literature data of the current research on acupuncture treatment of functional dyspepsia.

Methods: By using the bibliometrix package in R4.4.1, all the research literatures related to acupuncture and moxibustion treatment of functional dyspepsia in the WOS core database were used, and the data visualization analysis of the retrieved research literatures was carried out.

Results: A total of 489 research literatures on acupuncture treatment of functional dyspepsia were screened out. The earliest related research was published in 2009. After 2013, the research heat in this field increased rapidly, reaching its peak in 2022. The number of publications and citations related to acupuncture treatment of functional dyspepsia in China ranked first. Analysis of cumulative publication volume shows that from 2012 to 2024, JEVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDIC ranked first in cumulative publication volume. A total of 1841 authors contributed to this field. The top three authors were WU HG, LIU HR and LI Y. WU HG ranked first in author influence and citation frequency. The most frequently used keyword in the articles published by these authors was "irritable-bowel-syndrome". The high-frequency keywords in the literature on acupuncture treatment of functional dyspepsia were statistically analyzed. The top three high-frequency words were irritable-bowel-syndrome, followed by acupuncture and electroacupuncture.

Conclusion: Acupuncture treatment of functional dyspepsia related research was first published in 2009, the research heat increased year by year. The most authoritative author in the field of acupuncture treatment of functional dyspepsia is WU HG.

Keywords: acupuncture; bibliometric; functional dyspepsia.

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Conflict of interest statement

XinJing Wei and XiaoFei Jia are co-first authors for this study. All of the authors had no any personal, financial, commercial, or academic conflicts of interest separately for this work.

Figures

Figure 1
Figure 1
The publication of relevant literature.
Figure 2
Figure 2
The publication and citation of countries. (A) the top ten countries cited in the relevant literature; (B) SCP and MCP publications; (C) national distribution map; (D) The cumulative growth of the article over time.
Figure 3
Figure 3
Journals published and cited. (A)Citation ranking of each journal; (B) the number of publications in each journal; (C) the ranking of the influence of each journal; (D) The cumulative number of publications in each journal changes over time.
Figure 4
Figure 4
(A) Ranking of the most cited articles in the world; (B) ranking of the most cited articles in the local; (C) the most cited literature in each article; (D) Citation network clustering analysis; (E) Hotspot map of citation network.
Figure 5
Figure 5
The situation of institution publication. (A) Ranking the number of institutional publications; (B) The changes in the number of papers issued by the top 5 institutions over time.
Figure 6
Figure 6
The author’s publication. (A) Ranking of the number of publications; (B) local citation ranking; (C) influence ranking; (D) the change of the number of articles published by the author over time; (E): the author ‘s country and the keywords used in the article (the left side is the country name, the middle is the author name, and the right side is the organization name).
Figure 7
Figure 7
(A) author cooperation network diagram; (B) National cooperation network diagram.
Figure 8
Figure 8
High frequency keyword analysis. (A) Word cloud map; (B) Keyword tree diagram; (C) keyword frequency changes over time; (D) Keyword co-occurrence network.
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