Evidence map›Paper›PMID 41869496›Full record

ArticleAmerican journal of clinical and experimental immunology2026

Expert consensus on acupuncture for diabetic foot.

Xuexi Tang, Guoyan Li, Gang Wang, Sheng Chen, Li Zhang

Abstract read
In one paragraph

Article in American journal of clinical and experimental immunology, 2026. 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

5 authors.

Xuexi TangBeijing University of Chinese Medicine Beijing 100700, China.
Guoyan LiDepartment of Anesthesiology, Dongzhimen Hospital, Beijing University of Chinese Medicine Beijing 100700, China.
Gang WangDepartment of Peripheral Vascular Surgery, Dongzhimen Hospital, Beijing University of Chinese Medicine Beijing 100700, China.
Sheng ChenDepartment of Acupuncture, Dongzhimen Hospital, Beijing University of Chinese Medicine Beijing 100700, China.
Li ZhangDepartment of Anesthesiology and Operating Room, Xiyuan Hospital, China Academy of Chinese Medical Sciences Beijing 100091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic foot (DF), is called "foot gangrene" (gangrene) or "nerve gangrene" (gangrene of the nerve area) in traditional Chinese medicine. It is a severe complication of diabetes, whose incidence rate is high, and the consequences is serious. Acupuncture is a promising therapy, it is effective, it can alleviate symptoms, accelerate the wound healing and reduce the risk of amputation. This consensus includes clinical evidence and expert practical experience, it shows acupuncture is an effective supportive treatment methods. Its main purpose is to provide practical, standardized, and safe instructions for clinicians. It can promote the use of acupuncture in evidence-based treatment of diabetic foot ulcers. The innovation points of this consensus are: 1. Stage guidance: It includes the indications, contraindications and Wagner classification system, which adjusts the treatment measures for different conditions. 2. Integrated diagnosis: It includes modern vascular assessment, neurological examinations, and TCM syndrome, such as ankle-brachial index, arterial oxygen partial pressure and nerve conduction studies, finally formulating different treatment plans. 3. Focus on strict operating procedures: Formulating safe and controlling infection measures for patients with diabetic foot to conduct acupuncture treatment, and figuring out the risk factors.

Indexed as

acupunctureDiabetic footexpert consensustraditional Chinese medicine

Identifiers

PMID41869496
PMCPMC13000733

What OpenQuestion holds

Textmetadata
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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.