Evidence map›Paper›PMID 37631726›Full record

ReviewSensors (Basel, Switzerland)2023

Objective Methods of Muscle Tone Diagnosis and Their Application-A Critical Review.

Barbora Kopecká, David Ravnik, Karel Jelen, Václav Bittner

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assessing Congenital Muscular Torticollis Using Myotonometry: A Novel Approach.Journal of musculoskeletal & neuronal interactions · 2025
    Article
  5. Article
  6. Review
  7. Observational
  8. Article
  9. 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

4 authors.

Barbora KopeckáFaculty of Physical Education and Sport, Charles University, 162 52 Prague, Czech Republic.
David RavnikFaculty of Health Sciences, University of Primorska, 6310 Izola, Slovenia.ORCID 0000-0001-9678-1056
Karel JelenFaculty of Physical Education and Sport, Charles University, 162 52 Prague, Czech Republic.ORCID 0000-0002-8151-9810
Václav BittnerFaculty of Science, Humanities and Education, Technical University of Liberec, 461 17 Liberec, Czech Republic.ORCID 0000-0003-3554-9602

Funding

Charles University 397121
6 · The paper itself

Abstract

"Muscle tone" is a clinically important and widely used term and palpation is a crucial skill for its diagnosis. However, the term is defined rather vaguely, and palpation is not measurable objectively. Therefore, several methods have been developed to measure muscle tone objectively, in terms of biomechanical properties of the muscle. This article aims to summarize these approaches. Through database searches, we identified those studies related to objective muscle tone measurement in vivo, in situ. Based on them, we described existing methods and devices and compared their reliability. Furthermore, we presented an extensive list of the use of these methods in different fields of research. Although it is believed by some authors that palpation cannot be replaced by a mechanical device, several methods have already proved their utility in muscle biomechanical property diagnosis. There appear to be two issues preventing wider usage of these objective methods in clinical practice. Firstly, a high variability of their reliability, and secondly, a lack of valid mathematical models that would provide the observed mechanical characteristics with a clear physical significance and allow the results to be compared with each other.

Indexed as

MusclesMuscle TonusDatabases, FactualPalpationReproducibility of Resultsin vivomuscle tonemyotonometrysoft tissue mechanical properties

Identifiers

PMID37631726
PMCPMC10458714

What OpenQuestion holds

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LicenceCC BY
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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.