Evidence map›Paper›PMID 24814059›Full record

ArticlePediatric neurology2014

Cross-sectional evaluation of electrical impedance myography and quantitative ultrasound for the assessment of Duchenne muscular dystrophy in a clinical trial setting.

Seward B Rutkove, Tom R Geisbush, Aleksandar Mijailovic, Irina Shklyar, Amy Pasternak, Nicole Visyak, Jim S Wu, Craig Zaidman, Basil T Darras

Registry-linked trialAbstract read
In one paragraph

Article in Pediatric neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07502989 (Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.4field-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.

NCT07502989 recruitingnot on this mapstarted 2025, after this paper: background citation

Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography

Typeobservational_patient_registrySponsorBeth Israel Deaconess Medical CenterRan2025 to 2027Enrolled150ConditionsMyopathy, Muscular Dystrophies, Myositis, Myofibrillar MyopathyArmsElectrical Impedance Myography
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Inter-session reliability of electrical impedance myography in children in a clinical trial setting.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2015
    Trial
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Electrical Impedance Methods in Neuromuscular Assessment: An Overview.Cold Spring Harbor perspectives in medicine · 2019
    Review
  12. Quantitative ultrasound of muscle can detect corticosteroid effects.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  13. Article
  14. Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Electrical Impedance Myography for Evaluating Paretic Muscle Changes After Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2017
    Article
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

9 authors at 3 institutions in 1 country.

Seward B RutkoveDivision of Neuromuscular Diseases, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts. Electronic address: srutkove@bidmc.harvard.edu.
Tom R GeisbushDivision of Neuromuscular Diseases, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Aleksandar MijailovicDivision of Neuromuscular Diseases, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Irina ShklyarDivision of Neuromuscular Diseases, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Amy PasternakDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Nicole VisyakDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Jim S WuDivision of Neuromuscular Diseases, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Craig ZaidmanDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri.
Basil T DarrasDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Boston Children's Hospital · USHarvard University · USWashington University in St. Louis · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Electrical impedance myography and quantitative ultrasound in Duchenne muscular dR01AR060850 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI DARRAS, BASIL T, RUTKOVE, SEWARD B. · 2011 to 2014
$1.7M
Howard Hughes Medical InstituteNCATS NIH HHS UL1 TR000448NIAMS NIH HHS R01 AR060850NIAMS NIH HHS R01AR060850-02
6 · The paper itself

Abstract

backgroundElectrical impedance myography and quantitative ultrasound are two noninvasive, painless, and effort-independent approaches for assessing neuromuscular disease. Both techniques have potential to serve as useful biomarkers in clinical trials in Duchenne muscular dystrophy. However, their comparative sensitivity to disease status and how they relate to one another are unknown.

methodsWe performed a cross-sectional analysis of electrical impedance myography and quantitative ultrasound in 24 healthy boys and 24 with Duchenne muscular dystrophy, aged 2 to 14 years with trained research assistants performing all measurements. Three upper and three lower extremity muscles were studied unilaterally in each child, and the data averaged for each individual.

resultsBoth electrical impedance myography and quantitative ultrasound differentiated healthy boys from those with Duchenne muscular dystrophy (P < 0.001 for both). Quantitative ultrasound values correlated with age in Duchenne muscular dystrophy boys (rho = 0.45; P = 0.029), whereas electrical impedance myography did not (rho = -0.31; P = 0.14). However, electrical impedance myography phase correlated with age in healthy boys (rho = 0.51; P = 0.012), whereas quantitative ultrasound did not (rho = -0.021; P = 0.92). In Duchenne muscular dystrophy boys, electrical impedance myography phase correlated with the North Star Ambulatory Assessment (rho = 0.65; P = 0.022); quantitative ultrasound revealed a near-significant association (rho = -0.56; P = 0.060). The two technologies trended toward a moderate correlation with one another in the Duchenne muscular dystrophy cohort but not in the healthy group (rho = -0.40; P = 0.054 and rho = -0.32; P = 0.13, respectively).

conclusionsElectrical impedance myography and quantitative ultrasound are complementary modalities for the assessment of boys with Duchenne muscular dystrophy; further study and application of these two modalities alone or in combination in a longitudinal fashion are warranted.

Indexed as

AdolescentChildChild, PreschoolCross-Sectional StudiesElectric ImpedanceHumansMaleMuscle, SkeletalMuscular Dystrophy, DuchenneMyographyStatistics as TopicUltrasonographybiomarkerDuchenne muscular dystrophyelectrical impedance myographyoutcome measurequantitative ultrasound

Identifiers

PMID24814059
PMCPMC4063877
OpenAlexW1971122449

What OpenQuestion holds

Textmetadata
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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.