Evidence map›Paper›PMID 38893614›Full record

ReviewDiagnostics (Basel, Switzerland)2024

The Application of Surface Electromyography Technology in Evaluating Paraspinal Muscle Function.

Moran Suo, Lina Zhou, Jinzuo Wang, Huagui Huang, Jing Zhang, Tianze Sun, Xin Liu, Xin Chen, Chunli Song, Zhonghai Li

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Methods for assessing core muscle co-activation in the lumbar region: a narrative review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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.

Moran SuoDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0000-0002-1514-0327
Lina ZhouDepartment of Neurology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Jinzuo WangDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0000-0002-9165-0716
Huagui HuangDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0000-0002-5194-0671
Jing ZhangDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Tianze SunDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0000-0002-6646-1040
Xin LiuDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Xin ChenMusculoskeletal Research Laboratory, Department of Orthopaedics & Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0003-3561-2691
Chunli SongDepartment of Neurology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Zhonghai LiDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0000-0003-4735-1193

Funding

the Joint Medical-Industrial Innovation Fund of the First Hospital of Dalian Medical University-Dalian Institute of Chemical Physics, Chinese Academy of Sciences DMU-1&DICP UN202311the Natural Science Foundation of Liaoning Province 2022-MS-322the Science and Technology Innovation Foundation of Dalian 2022JJ12SN045
6 · The paper itself

Abstract

Surface electromyography (sEMG) has emerged as a valuable tool for assessing muscle activity in various clinical and research settings. This review focuses on the application of sEMG specifically in the context of paraspinal muscles. The paraspinal muscles play a critical role in providing stability and facilitating movement of the spine. Dysfunctions or alterations in paraspinal muscle activity can lead to various musculoskeletal disorders and spinal pathologies. Therefore, understanding and quantifying paraspinal muscle activity is crucial for accurate diagnosis, treatment planning, and monitoring therapeutic interventions. This review discusses the clinical applications of sEMG in paraspinal muscles, including the assessment of low back pain, spinal disorders, and rehabilitation interventions. It explores how sEMG can aid in diagnosing the potential causes of low back pain and monitoring the effectiveness of physical therapy, spinal manipulative therapy, and exercise protocols. It also discusses emerging technologies and advancements in sEMG techniques that aim to enhance the accuracy and reliability of paraspinal muscle assessment. In summary, the application of sEMG in paraspinal muscles provides valuable insights into muscle function, dysfunction, and therapeutic interventions. By examining the literature on sEMG in paraspinal muscles, this review offers a comprehensive understanding of the current state of research, identifies knowledge gaps, and suggests future directions for optimizing the use of sEMG in assessing paraspinal muscle activity.

Indexed as

functional exerciselow back painmuscle functionparaspinal musclesspinal disorderssurface electromyography

Identifiers

PMID38893614
PMCPMC11172025

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.