Evidence map›Paper›PMID 24929900›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2015

Optimizing electrical impedance myography measurements by using a multifrequency ratio: a study in Duchenne muscular dystrophy.

Stefan Schwartz, Tom R Geisbush, Aleksandar Mijailovic, Amy Pasternak, Basil T Darras, Seward B Rutkove

Open access · greenAbstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 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
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  5. 0.33Science advances · 2026
    Article
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  12. Electrical impedance myography: A critical review and outlook.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Review
  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
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  17. Observational
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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 1 country.

Stefan SchwartzDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Tom R GeisbushDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Aleksandar MijailovicDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Amy PasternakBoston Children's Hospital, Harvard Medical School, Boston, MA, United States.
Basil T DarrasBoston Children's Hospital, Harvard Medical School, Boston, MA, United States.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States. Electronic address: srutkove@bidmc.harvard.edu.
Harvard University · USBeth Israel Deaconess Medical Center · USBoston Children's Hospital · US

Funding

Harvard Clinical and Translational Science Center (UL1)UL1TR000170 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2012 to 2013
$31.4M
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
NCATS NIH HHS UL1 TR000170NIAMS NIH HHS R01 AR060850NIAMS NIH HHS R01AR060850
6 · The paper itself

Abstract

objectiveElectrical impedance myography (EIM) is an electrophysiological technique for neuromuscular evaluation that is impacted by subcutaneous fat (SF). Exploiting the differing frequency dependences of muscle and fat, we assessed a 2-frequency EIM phase ratio in Duchenne muscular dystrophy (DMD) boys.

methodsTwenty-eight DMD boys aged 2-13years underwent EIM and the 6-minute walk test (6MWT). For each subject, 50kHz phase data was input into the numerator while 20-500kHz phase values were input into the denominator. We then performed correlation analyses seeking to identify the denominator frequency that simultaneously optimized SF and 6MWT correlations. This optimized ratio was then tested in 24 healthy boys.

results50kHz phase correlated to 6MWT in DMD boys with R=0.52, p=0.0066, and to SF thickness with R=-0.67, p<0.001. An optimized ratio of 50/200kHz phase reduced the correlation of SF thickness to R=-0.075, p=0.45 while improving the relationship to the 6MWT (R=0.60, p=0.001). In normal subjects, the optimization decreased SF correlation from R=0.61 from R=0.16 with 6MWT correlation remaining unchanged.

conclusionsThe 50/200kHz EIM phase ratio removes the impact of SF while maintaining EIM's association with function. SIGNIFICANCE: The use of a phase ratio may enhance EIM's application for evaluation of neuromuscular disease.

Indexed as

AdolescentAnimalsChildChild, PreschoolElectric ImpedanceExercise TestHumansMaleMuscle, SkeletalMuscular Dystrophy, DuchenneMyographyOrgan Culture TechniquesRatsSubcutaneous FatSwineDuchenne muscular dystrophyElectrical impedance myographyFunctional measuresOptimizationSubcutaneous fat

Identifiers

PMID24929900
PMCPMC4234696
OpenAlexW2040347570

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.