Evidence map›Paper›PMID 40547391›Full record

ArticleMedical acupuncture2025

Analysis of Acupoint Selection and Combination for Gouty Arthritis Treated with Moxibustion Based on Data Mining.

Jianmei Zhang, Yufeng Xie, Hong Zhou, Qingchan Lin, Jun Li, Zhichun Chang, Hong Tang, Jieting Chen, Yun Chen, Jun Feng

Abstract read
In one paragraph

Article in Medical acupuncture, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Jianmei ZhangShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Yufeng XieShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Hong ZhouShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Qingchan LinShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Jun LiShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Zhichun ChangShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Hong TangThe Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.
Jieting ChenThe Sixth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.
Yun ChenShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
Jun FengShenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gout arthritis (GA) is a common inflammatory joint disease that is difficult to cure. Moxibustion, as an important alternative therapy, is widely used. However, the criteria for selecting acupuncture point prescriptions and combinations are unclear. Thus, the study aimed to explore the most effective acupoints and combinations in the treatment of GA through data mining techniques. Methods: PubMed, Cochrane Library, EMBASE, China National Knowledge Infrastructure, Wanfang, VIP, and China Biomedicine databases were used to screen clinical studies and observations of the efficacy of moxibustion in the treatment of GA. Data on the acupoint prescriptions applied in these studies were collected, and association rule mining analysis and cluster analysis were conducted to summarize the characteristics and patterns of acupoint selection for the treatment of GA with moxibustion. Results: Sixty-four trials involving 116 groups of prescriptions and 99 acupoints were identified. Zusanli (ST36), Yinlingquan (SP9), Yanglingquan (GB34), Sanyinjiao (SP6), and Xuehai (SP10) were the most commonly used acupoints for GA. The spleen meridian of the foot-taiyin and the stomach meridian of foot-Yangming were the most commonly used meridians. Additionally, most acupoint sites are concentrated in the extremities. Network analysis reveals Gongsun (SP4), Sanyinjiao (SP6), Zusanli (ST36), Yinlingquan (SP9), and Ashi as potentially effective and commonly used acupoints. In the acupoint interconnection network, Ashi and Sanyinjiao (SP6) were potential combinations of acupoints that should be chosen first in GA treatment. Clustering analysis revealed the treatment principle of "invigorating spleen and removing dampness, and relaxing muscles and activating collaterals." Conclusion: Through data mining analysis of published studies, this study provides valuable information for selecting the most effective acupoints and combinations for clinical moxibustion in the treatment of GA.

Indexed as

association rulecluster analysisdata mininggouty arthritismoxibustion

Identifiers

PMID40547391
PMCPMC12179378

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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.