Evidence map›Paper›PMID 37690987›Full record

ArticleAsian spine journal2023

Electromyographic Discrepancy in Paravertebral Muscle Activity Predicts Early Curve Progression of Untreated Adolescent Idiopathic Scoliosis.

Yunli Fan, Michael Kai-Tsun To, Eric Hiu Kwong Yeung, Guan-Ming Kuang, Ruixin Liang, Jason Pui Yin Cheung

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Asian spine journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07738588 (Design of a Wireless and Non-Invasive EMG-Based Embedded Measurement System for Monitoring Muscle Activation Asymmetries in Scoliosis), which is not on this 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
5.1field-weighted citation impact, top 4% 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.

NCT07738588 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Design of a Wireless and Non-Invasive EMG-Based Embedded Measurement System for Monitoring Muscle Activation Asymmetries in Scoliosis

TypeinterventionalSponsorErtugrul Deniz KoseRan2026 to 2028Enrolled100ConditionsAdolescent Idiopathic Scoliosis (AIS)ArmsWireless Embedded Surface EMG (sEMG) Measurement System
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 3 institutions in 2 countries.

Yunli FanDepartment of Physiotherapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Michael Kai-Tsun ToDepartment of Orthopaedics & Traumatology, The University of Hong Kong, Hong Kong SAR, China.
Eric Hiu Kwong YeungDepartment of Physiotherapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Guan-Ming KuangDepartment of Orthopaedics, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Ruixin LiangLaboratory for Artificial Intelligence in Design, Hong Kong SAR, China.
Jason Pui Yin CheungDepartment of Orthopaedics & Traumatology, The University of Hong Kong, Hong Kong SAR, China.
University of Hong Kong - Shenzhen Hospital · CNChinese University of Hong Kong · HKBeijing Academy of Artificial Intelligence · CN

Funding

AO Foundation AOSNR202207
6 · The paper itself

Abstract

STUDY

designThis study adopted a prospective cohort study design. PURPOSE: This study aimed to examine electromyogram (EMG) discrepancy in paravertebral muscle activity and scoliosis progression, determine how vertebral morphology and EMG discrepancy evolve during scoliosis progression, and identify differences in EMG activity between individuals with and without adolescent idiopathic scoliosis (AIS). OVERVIEW OF LITERATURE: Higher EMG activity is observed in the convex side of scoliotic curves, but not in populations without scoliosis, suggesting that higher EMG activity is a causative factor for curve progression.

methodsIn this study, 267 matched pairs of AIS and controls were recruited. The participants underwent EMG measurements at their first presentation and did not receive any treatment for 6 months at which point they underwent EMG and radiographs. Early curve progression was defined as >5° in Cobb angle at 6 months. The root mean square of the EMG (rms-EMG) signal was recorded with the participants in sitting and back extension. The rms-EMG ratio at the upper end vertebrae, apical vertebrae (AV), and lower end vertebrae (LEV) of the major curve was calculated.

resultsThe rms-EMG ratio in the scoliosis cohort was high compared with that in the controls (sitting: 1.2±0.3 vs. 1.0±0.1, p<0.01; back extension: 1.1±0.2 vs. 1.0±0.1, p<0.01). An AV rms-EMG ratio in back extension, with a cutoff threshold of ≥1.5 in the major thoracic curve and ≥1.3 in the major lumbar curve, was a risk factor for early curve progression after 6 months without treatment (odds ratio, 4.1; 95% confidence interval, 2.8-5.9; p<0.01). Increases in side deviation (SD) (distance between the AV and the central sacral line) were related to a higher rms-EMG ratio in LEV of the major thoracic curve (baseline: rs=0.2, p=0.03; 6 months: rs=0.3, p<0.01).

conclusionsAn EMG discrepancy was detected in the scoliosis cohort, which was related to increases in SD in the major thoracic curve. The AV rms-EMG ratio in back extension was correlated with curve progression after 6 months of no treatment.

Indexed as

ElectromyographyScoliosisSpine

Identifiers

PMID37690987
PMCPMC10622813
OpenAlexW4386587976

What OpenQuestion holds

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Registered trials

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.