Evidence map›Paper›PMID 42037701›Full record

ReviewFrontiers in neurology

Clinical value and advances of electromyography in cervical dystonia: a review.

Muqier Bao, Di Ma, Mengyi Zhou, Xiaohui Ma, Huaiyu Sun, Lixia Zhu, Shuai Hou, Hongmei Meng

Abstract readReview
In one paragraph

Review in Frontiers in neurology. 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

8 authors.

Muqier BaoDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Di MaDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Mengyi ZhouDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Xiaohui MaDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Huaiyu SunDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Lixia ZhuDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Shuai HouDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Hongmei MengDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromyography (EMG) is a definitive diagnostic tool that has become indispensable in the clinical management of cervical dystonia (CD). This review systematically delineates its pivotal role across the entire care pathway. EMG provides crucial electrophysiological evidence for the diagnosis and differential diagnosis of CD by identifying abnormal co-contractions and "recruitment" phenomena. In therapeutic management, EMG-guided botulinum toxin injections enable precise targeting of affected muscles, significantly improving therapeutic efficacy and reducing adverse reactions. It also offers objective references for target muscle selection and parameter optimization in interventions such as deep brain stimulation. Research on pathophysiological mechanisms reveals that EMG captures abnormalities in central pattern generators, offering insights into the underlying neurophysiological mechanisms of CD. Moreover, EMG serves as a reliable tool for quantifying therapeutic effects and conducting long-term follow-ups. Despite limitations such as operator dependence, emerging technologies-including high-density surface EMG and machine learning-are expanding the role of EMG in precision medicine and individualized treatment strategies for CD. This review highlights the clinical value, advances, and future prospects of EMG in the diagnosis, classification, pathophysiological research, treatment guidance, and efficacy evaluation of CD.

Indexed as

botulinum toxincervical dystoniadeep brain stimulationdiagnosisdifferential diagnosisefficacy evaluationelectromyographypathophysiological mechanism

Identifiers

PMID42037701
PMCPMC13105903

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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.