Evidence mapPaperPMID 41385121Full record

ReviewLasers in medical science2025

The 28-year evolution of laser acupuncture: a CiteSpace knowledge graph visualization and analysis.

Yunnan Liu, Ruitian Zhang, Yanpei Li, Jian Xiong, Yin Wei, Zuoqin Yang, Fanrong Liang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Lasers in medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yunnan LiuChengdu University of Traditional Chinese Medicine, chengdu, China.
Ruitian ZhangGuangxi University of Chinese Medicine, nanning, China.
Yanpei LiGuangxi University of Chinese Medicine, nanning, China.
Jian XiongChengdu University of Traditional Chinese Medicine, chengdu, China.
Yin WeiChengdu University of Traditional Chinese Medicine, chengdu, China.
Zuoqin YangDepartment of Acupuncture and Tuina, Chengdu Pidu District Hospital of Traditional Chinese Medicine, chengdu, China. zuozuoyang@cdutcm.edu.cn.
Fanrong LiangChengdu University of Traditional Chinese Medicine, chengdu, China. acuresearch@126.com.

Funding

the General Program of the Sichuan Provincial Natural Science Foundation . (Grant No. 2025ZNSFSC0624)
6 · The paper itself

Abstract

backgroundLaser acupuncture (LA) is an emerging therapeutic modality that employs non-invasive laser irradiation to induce biological effects and enhance physiological functions. Its application in clinical settings has become widespread, with extensive research supporting its efficacy in rehabilitation and various medical treatments.

objectiveThis study utilized CiteSpace to perform a visual analysis of 957 LA-related publications (1996-2024), aiming to identify evolving research trends, track the progression of LA in medical fields, and offer insights for future investigations.

methodsLiterature on LA from the Web of Science (WOS) Core Collection (1996-2024) was analyzed using CiteSpace. Visualization maps were generated for keywords, authors, institutions, and journals. Co-occurrence, clustering, and burst detection analyses were conducted on author networks, national collaborations, and keyword trends. RESULTS AND

conclusionA total of 957 studies were analyzed. Key findings include: (1) LA demonstrates significant interdisciplinary potential, meriting further exploration. (2) Future research should extend beyond efficacy assessments and systematic reviews to explore innovative perspectives and broaden research directions.

Indexed as

Acupuncture TherapyLaser TherapyBibliometricsHumansLow-Level Light TherapyData visualizationLaserLaser acupuncture (LA)Rehabilitation therapy

Identifiers

What Socratic holds

Textmetadata
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.