Evidence map›Paper›PMID 36847994›Full record

ReviewReviews in endocrine & metabolic disorders2023

Phase angle in localized bioimpedance measurements to assess and monitor muscle injury.

Lexa Nescolarde, Antonio Talluri, Javier Yanguas, Henry Lukaski

Open access · hybridAbstract readReview
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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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 3 institutions in 2 countries.

Lexa NescolardeDepartment of Electronic Engineering, Universitat Politècnica de Catalunya, c/ Jordi Girona 1-3, Edifici C4, 08034, Barcelona, Spain. lexa.nescolarde@upc.edu.ORCID 0000-0001-6861-5106
Antonio TalluriPixelCanDo, Santa Cruz, Tenerife, Spain.ORCID 0000-0001-9399-5526
Javier YanguasFutbol Club Barcelona, Ciutat Esportiva Joan Gamper, Av. c/ Onze de Setembre s/n, 08790, Sant Joan Despí, Barcelona, Spain.ORCID 0000-0002-5573-6088
Henry LukaskiDepartment of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, ND, 58202, USA.ORCID 0000-0002-5418-5851
FC Barcelona · ESUniversitat Politècnica de Catalunya · ESUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Localized bioimpedance (L-BIA) measurements are an innovative method to non-invasively identify structural derangement of soft tissues, principally muscles, and fluid accumulation in response to traumatic injury. This review provides unique L-BIA data demonstrating significant relative differences between injured and contralateral non-injured regions of interest (ROI) associated with soft tissue injury. One key finding is the specific and sensitive role of reactance (Xc), measured at 50 kHz with a phase-sensitive BI instrument, to identify objective degrees of muscle injury, localized structural damage and fluid accretion, determined using magnetic resonance imaging. The predominant effect of Xc as an indicator of severity of muscle injury is highlighted in phase angle (PhA) measurements. Novel experimental models utilizing cooking-induced cell disruption, saline injection into meat specimens, and measurements of changing amounts of cells in a constant volume provide empirical evidence of the physiological correlates of series Xc as cells in water. Findings of strong associations of capacitance, computed from parallel Xc (X

Indexed as

Magnetic Resonance ImagingMusclesElectric ImpedanceHumansLocalized bioimpedanceMagnetic resonance imagingMuscleReactance

Identifiers

PMID36847994
PMCPMC10140135
OpenAlexW4322217231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.