Evidence map›Paper›PMID 40994712›Full record

SynthesisFrontiers in neurology2025

Hotspots and trends in acupuncture combined with non-invasive neuromodulation technology in the past 20 years: a bibliometric analysis.

Song Li, Anhong Dai, Yihao Zhou, Xu Chen, Yizhou Chen, Li Zhou, Xiaolin Yang, Mengqi Yue, Jing Shi, Yong Qiu

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, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

10 authors.

Song Li *Second Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Anhong Dai *Department of Rehabilitation Medicine, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Yihao Zhou *Department of Acupuncture and Moxibustion, The First Affiliated Hospital of Yunnan University of Chinese Medicine, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China.
Xu ChenYunnan University of Traditional Chinese Medicine, Kunming, China.
Yizhou ChenYunnan University of Traditional Chinese Medicine, Kunming, China.
Li ZhouYunnan University of Traditional Chinese Medicine, Kunming, China.
Xiaolin YangYunnan University of Traditional Chinese Medicine, Kunming, China.
Mengqi YueYunnan University of Traditional Chinese Medicine, Kunming, China.
Jing ShiDepartment of Acupuncture and Moxibustion, The First Affiliated Hospital of Yunnan University of Chinese Medicine, Yunnan Provincial Hospital of Traditional Chinese Medicine, Kunming, China.
Yong QiuYunnan University of Traditional Chinese Medicine, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-invasive neuromodulation (NIN) technology, a promising approach in the field of neuromodulation, has been employed to address a diverse array of disorders, with an increasing volume of research emerging. Traditional Chinese acupuncture has also been utilized as a complementary and preventive therapy for various ailments. Nevertheless, the publication trends and research hotspots at the intersection of acupuncture and NIN technology remain largely unexplored. This study aims to systematically analyze the publication trends and research hotspots related to the convergence of acupuncture and NIN over the past two decades using bibliometric methods. Methods: We collected literature data on the combination of acupuncture and NIN technology from January 1, 2004, to December 31, 2023, utilizing the Web of Science Core Collection (WOSCC) database. This data was imported into CiteSpace (version 6.2. R4) and RStudio to facilitate a visual analysis of research hotspots and trends, categorized by author, country/region, affiliation, annual publication, keywords, and journal. Results: A total of 803 articles were retrieved, encompassing contributions from 55 countries, 468 research institutions, and 360 academic journals. The People's Republic of China leads in publication volume with 390 articles, followed by Capital Medical University and Peking University, each contributing 27 articles. Among the authors, HAN JS has the highest number of co-citations, totaling 142. Additionally, the journal Evidence-Based Complementary and Alternative Medicine is noted for publishing the most papers in this field. Recent research hotspots regarding acupuncture combined with NIN technology primarily focus on topics such as "postoperative gastrointestinal function," "postoperative analgesia," "postoperative nausea and vomiting," "acupuncture analgesia," "reproductive medicine," "inflammation," "chronic low back pain," and "postoperative pain." The predominant intervention method identified is TEAS technology, which integrates acupuncture with modern electrical stimulation as an innovative clinical treatment approach. Conclusion: The publications on acupuncture combined with NIN technology have made significant progress; however, there is still a need to strengthen international academic exchanges and cooperation among scientific researchers and institutions to promote interdisciplinary collaboration and academic innovation. Furthermore, future studies should focus on enhancing the overall quality of research outcomes in this field and reinforcing research programs.

Indexed as

acupunctureanalgesiabibliometricnon-invasive neuromodulation technologytranscutaneous electrical acupoint stimulationvisualization analysis

Identifiers

PMID40994712
PMCPMC12456029

What OpenQuestion 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 OpenQuestion graph.