Evidence map›Paper›PMID 38560045›Full record

ArticleFrontiers in neuroscience2024

Contralateral acupuncture for migraine without aura: a randomized trial protocol with multimodal MRI.

Ziwen Chen, Qifu Li, Yi Lu, Gaoyangzi Huang, Ya Huang, Xianmei Pei, Yi Gong, Bingkui Zhang, Xin Tang, Zili Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. 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, top 95% of its field
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, 0 citations in OpenAlex.

  1. Trial
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

12 authors at 5 institutions in 1 country.

Ziwen Chen *College of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qifu Li *School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Yi LuDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Gaoyangzi HuangSchool of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Ya HuangSchool of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Xianmei PeiSchool of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Yi GongKunming Psychiatry Hospital/Yunnan University of Chinese Medicine Teaching Hospital, Kunming, China.
Bingkui ZhangKunming Psychiatry Hospital/Yunnan University of Chinese Medicine Teaching Hospital, Kunming, China.
Xin TangSchool of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Zili LiuSchool of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Taipin GuoSchool of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China.
Fanrong LiangCollege of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yunnan University · CNChengdu University of Traditional Chinese Medicine · CNSecond People's Hospital of Yunnan Province · CNFirst Affiliated Hospital of Kunming Medical University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Migraine is a common clinical disorder, ranks as the second most disabling disease worldwide, and often manifests with unilateral onset. Contralateral acupuncture (CAT), as a classical acupuncture method, has been proven to be effective in the treatment of migraine without aura (MWoA). However, its neural mechanisms have not been investigated using multimodal magnetic resonance imaging (MRI). Methods and analysis: In this multimodal neuroimaging randomized trial, a total of 96 female MWoA participants and 30 female healthy controls (HCs) will be recruited. The 96 female MWoA participants will be randomized into three groups: Group A (CAT group), Group B [ipsilateral acupuncture (IAT) group], and Group C (sham CAT group) in a 1:1:1 allocation ratio. Each group will receive 30 min of treatment every other day, three times a week, for 8 weeks, followed by an 8-week follow-up period. The primary outcome is the intensity of the migraine attack. Data will be collected at baseline (week 0), at the end of the 8-week treatment period (weeks 1-8), and during the 8-week follow-up (weeks 9-16). Adverse events will be recorded. Multimodal MRI scans will be conducted at baseline and after 8-week treatment. Discussion: This study hypothesized that CAT may treat MWoA by restoring pathological alterations in brain neural activity, particularly by restoring cross-integrated functional connectivity with periaqueductal gray (PAG) as the core pathological brain region. The findings will provide scientific evidence for CAT in the treatment of MWoA. Ethics and dissemination: The Medical Ethics Committee of the Second Affiliated Hospital of Yunnan University of Chinese Medicine has given study approval (approval no. 2022-006). This trial has been registered with the Chinese Clinical Trials Registry (registration no. ChiCTR2300069456). Peer-reviewed papers will be used to publicize the trial's findings. Clinical trial registration: https://clinicaltrials.gov/, identifier ChiCTR2300069456.

Indexed as

brain functional connectivityclinical trialcontralateral acupuncturefemaleipsilateral acupuncturemigraine without auramultimodal MRIstudy protocol

Identifiers

PMID38560045
PMCPMC10979701
OpenAlexW4392847564

What OpenQuestion holds

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Registered trials

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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.