Evidence map›Paper›PMID 37787098›Full record

ArticleMuscle & nerve2024

Electrical impedance myography in healthy volunteers.

Michelle B Offit, Hadi Mohammad Khanli, Tianxia Wu, Tanya J Lehky

Open access · bronzeAbstract read
In one paragraph

Article in Muscle & nerve, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Michelle B OffitElectromyography Section, National Institutes of Health of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Hadi Mohammad KhanliElectromyography Section, National Institutes of Health of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Tianxia WuClinical Trials Unit, National Institutes of Health of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Tanya J LehkyElectromyography Section, National Institutes of Health of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-6421-505X
National Institutes of Health · US

Funding

Intramural NIH HHS Z99 NS999999NIH HHS
6 · The paper itself

Abstract

INTRODUCTION/

aimsElectrical impedance myography (EIM) is a noninvasive technique being used in clinical studies to characterize muscle by phase, reactance, and resistance after application of a low-intensity current. The aim of this study was to obtain 50-kHz EIM data from healthy volunteers (HVs) for use in future clinical and research studies, perform reliability tests on EIM outcome measures, and compare findings with muscle ultrasound variables.

methodsFour arm and four leg muscles of HVs were evaluated using an EIM device with two sensors, P/N 20-0045 and P/N 014-009. Muscles were evaluated individually and eight-muscle average (8MU), four-muscle upper extremity average, and four-muscle lower extremity average. An intraclass correlation coefficient (ICC) was applied to assess interrater, intrarater, and intersensor reliability using a subset of HVs. Ultrasound studies on muscle thickness and elastography were also performed on a subset of HVs.

resultsFor the P/N 20-0045 sensor, the 8MU EIM mean and standard deviation (n = 41) was 14.54 ± 3.31 for phase, 7.04 ± 1.22 for reactance, and 28.91 ± 7.63 for resistance. Reliability for 8MU phase (n = 22) was good to excellent for both interrater (n = 22, ICC = 0.920, 95% CI 0.820 to 0.966) and intrarater (n = 22, ICC = 0.950, 95% CI 0.778 to 0.983). The P/N 014-009 sensor had similar reliability findings. Correlation analyses showed no association between EIM and muscle thickness. DISCUSSION: EIM is a reproducible measure of muscle physiology. Obtaining EIM values from HVs allows us to gain a better understanding how EIM may be altered in diseased muscle.

Indexed as

Muscle, SkeletalMyographyElectric ImpedanceHealthy VolunteersHumansReproducibility of Resultselastographyelectrical impedance myographymuscle physiologyultrasound

Identifiers

PMID37787098
PMCPMC10922034
OpenAlexW4387296355

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.