Evidence mapPaperPMID 40066312Full record

SynthesisFrontiers in neurology2025

Bibliometric and visual analysis in the field of electroacupuncture's analgesia and regulation on negative emotion from 2014 to 2024.

Xubo Huang, Jiajie Gao, Yuxin Ding, Jiali Wang, Junfan Fang, Jianqiao Fang, Junying Du

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xubo HuangThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jiajie GaoThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Yuxin DingThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jiali WangThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Junfan FangThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jianqiao FangThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Junying DuThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This bibliometric study systematically analyzes the research landscape of electroacupuncture (EA), focusing on its applications in pain relief and emotional regulation from 2014 to 2024. EA, a contemporary adaptation of traditional acupuncture, has gained significant attention for its potential therapeutic benefits in managing chronic pain and mood disorders. Methods: Using the Web of Science Core Collection as the primary data source, we identified 537 articles related to EA's therapeutic effects. The analysis was conducted using bibliometric tools such as VOSviewer and CiteSpace to visualize publication trends, research hotspots, and collaborative networks. Results: The study highlights a significant upward trend in research output, with a marked increase in publications from 2019 onwards. China emerged as the leading contributor, accounting for over 60% of the total research output, followed by the United States and South Korea. Key institutions, such as Zhejiang Chinese Medical University and Shanghai University of Traditional Chinese Medicine, have made substantial contributions, emphasizing the importance of traditional Chinese medicine in this research area. Major research themes include the modulation of neurotransmitter systems, the role of endogenous opioids, and the impact of EA on chronic pain and mood disorders. Collaborative networks between countries and institutions are mapped, revealing the centrality of Chinese and American research partnerships. Discussion: This comprehensive analysis outlines the current state of EA research and identifies gaps and opportunities for future studies, particularly in understanding the mechanistic pathways of EA and its integration into mainstream medical practices. The findings provide a roadmap for enhancing the therapeutic applications of EA and underscore its potential in managing complex conditions involving both physical and emotional components.

Indexed as

analgesiabibliometric analysischronic painelectroacupunctureemotional regulation

Identifiers

PMID40066312
PMCPMC11891545

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.