Evidence map›Paper›PMID 40291847›Full record

ArticleFrontiers in neurology2025

Acupuncture as adjunctive therapy for acute cerebral infarction: a randomized clinical trial.

Jiang-Peng Cao, Xin-Yue Du, Xiao-Xi Liu, Meng-Han Li, Man Zhang, Sheng-Xuan Guo, Qiu-Han Cai, Jia-Xin Zhang, Shan-Shan Sun, Jia-Wei Han and 5 more

Abstract read
In one paragraph

Article 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. Article
  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

15 authors.

Jiang-Peng Cao *Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xin-Yue Du *Department of Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Xiao-Xi Liu *Department of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Meng-Han LiDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Man ZhangThe Second Affiliated Hospital of Zhejiang University of Traditional Chinese Medicine, Hangzhou, China.
Sheng-Xuan GuoDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qiu-Han CaiDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jia-Xin ZhangDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Shan-Shan SunDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jia-Wei HanFirst Hospital of Jilin University, Changchun, China.
Lin-Ling ChenHuzhou Central Hospital, Huzhou, China.
Na ZhengTianjin Huanhu Hospital, Tianjin, China.
Lan-Yu JiaTianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
Gui-Ping LiDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yuan-Hao DuDepartment of Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute cerebral infarction (ACI) is the second leading cause of death and the major cause of disability worldwide, and there is an increasing interest in non-pharmacological treatments. Acupuncture has promising effects on ACI, but its efficacy and safety need to be verified through well-designed randomized clinical trials. We aimed to investigate the efficacy and safety of acupuncture as adjunctive therapy to improve neurological function in patients with ACI. Methods: The multicenter, sham-controlled, patient- and assessor-blinded randomized controlled trial was conducted in 4 tertiary hospitals in China from January to September 2024. All participants received standard care as recommended by the guidelines and were randomly assigned (1:1:1) to manual acupuncture (MA), sham acupuncture (SA), or standard care (SC) only. Participants in the MA and SA groups received acupuncture treatment 6 times weekly for 2 weeks for a total of 12 sessions. The primary outcome was the change in the National Institutes of Health Stroke Scale score from baseline to 14 days. Safety outcomes included adverse events and serious adverse events. Results: A total of 132 patients (median [IQR] age, 65 [58-69] years; 96 men [72.73%]), with a median (IQR) baseline National Institutes of Health Stroke Scale score of 11 (9-12) points, were included in the intention-to-treat analysis. Ten patients withdrew during the 14-day intervention, and another 7 patients withdrew during the 90-day follow-up. During the 14-day intervention, the median neurological impairment was significantly improved in the MA group compared to the SA group (4 [3, 5] vs. 3 [1.25, 4] points; Cohen's Conclusion: Twelve sessions of MA were safe and effective in improving the neurological function of patients with ACI. The results of this trial indicate that MA can be recommended as a routine, supplemental therapy for improving neurological function in patients with ACI. Clinical trial registration: ChiCTR2300079204 (Chinese Clinical Trial Registry, http://www.chictr.org.cn, registered on 27/12/2023).

Indexed as

acupunctureacute cerebral infarctionefficacyrandomized controlled trialsafety

Identifiers

PMID40291847
PMCPMC12023752

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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.