Evidence map›Paper›PMID 40462440›Full record

ArticleMuscle & nerve2025

Multi-Frequency Electrical Impedance Myography as a Predictor of Muscle Function in Older Adults.

Niladri Kumar Mahato, Buket Sonbas Cobb, Seward B Rutkove, W David Arnold, Brian C Clark

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Muscle & nerve, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Niladri Kumar MahatoDepartment of Anatomy, Tom & Julie Wood College of Osteopathic Medicine, Marian University, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0001-5439-1172
Buket Sonbas CobbDepartment of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6375-3312
W David ArnoldNextGen Precision Medicine, University of Missouri, Columbia, Missouri, USA.
Brian C ClarkOhio Musculoskeletal and Neurological Institute, Ohio University, Athens, Ohio, USA.ORCID https://orcid.org/0000-0002-6021-6431

Funding

Accurate and rapid assessment of sarcopenia in older adults through electrical impedance myography - Development of Regulatory Plans SupplementR44AG074840 · NIA · MYOLEX, INC. · PI ARNOLD, WILLIAM DAVID, CLARK, BRIAN C · 2022 to 2023
$1.8M
NIA NIH HHS R44 AG074840NIH HHS NIH/NIA R44AG074840
6 · The paper itself

Abstract

INTRODUCTION/

aimsThis study examined the potential of multi-frequency electrical impedance myography (EIM) to predict hand grip strength (HGS) variability among adults, including a large proportion of older adults, with and without sarcopenia. The objective was to develop predictive models using EIM data for assessing HGS and to explore its potential use in clinical evaluations of muscle function.

methodsSeventy-three participants aged 18-93 years were recruited at community events, with 69 completing EIM and HGS assessments. EIM data were collected from the forearm flexor and extensor muscle groups, and regression techniques, including Lasso regression, were applied to develop predictive models.

resultsApproximately 60% of participants were over 65 years old, and 23% exhibited HGS values below sarcopenia thresholds. EIM measurements explained 48% of the variance in HGS. Adding demographic factors (sex, age, BMI) improved the explained variance to 64%, highlighting EIM's potential in muscle health assessments. DISCUSSION: The findings suggest that multi-frequency EIM shows potential as a non-invasive tool for predicting HGS and assessing muscle function, particularly in aging populations. Further research is needed to fully establish EIM's utility in clinical settings for the early detection and management of sarcopenia.

Indexed as

AgingElectric ImpedanceHand StrengthMuscle, SkeletalMyographySarcopeniaAdolescentAdultAgedAged, 80 and overElectromyographyFemaleHumansMaleMiddle AgedPredictive Value of Testsdynapeniamusclephysical functionsarcopeniaweakness

Identifiers

PMID40462440
PMCPMC12338028

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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.