Evidence map›Paper›PMID 23894248›Full record

ArticleJournal of physics. Conference series2013

Electrical impedance myography for the assessment of children with muscular dystrophy: a preliminary study.

S B Rutkove, B T Darras

Open access · diamondAbstract read
In one paragraph

Article in Journal of physics. Conference series, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Electrical impedance myography (EIM) in a natural history study ofAmyotrophic lateral sclerosis & frontotemporal degeneration · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Optimizing electrical impedance myography measurements by using a multifrequency ratio: a study in Duchenne muscular dystrophy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2015
    Article
  10. Article
  11. Article
  12. 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

2 authors at 1 institution in 1 country.

S B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, and Department of Neurology, Children's Hospital Boston, Harvard Medical School, Boston, MA, USA.
B T Darras
Beth Israel Deaconess Medical Center · US

Funding

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
NIAMS NIH HHS R01 AR060850
6 · The paper itself

Abstract

Electrical impedance myography (EIM) provides a non-invasive approach for quantifying the severity of neuromuscular disease. Here we determine how well EIM data correlates to functional and ultrasound (US) measures of disease in children with Duchenne muscular dystrophy (DMD) and healthy subjects. Thirteen healthy boys, aged 2-12 years and 14 boys with DMD aged 4-12 years underwent both EIM and US measurements of deltoid, biceps, wrist flexors, quadriceps, tibialis anterior, and medial gastrocnemius. EIM measurements were performed with a custom-designed probe using a commercial multifrequency bioimpedance device. US luminosity data were quantified using a gray-scale analysis approach. Children also underwent the 6-minute walk test, timed tests and strength measurements. EIM and US data were combined across muscles. EIM 50 kHz phase was able to discriminate DMD children from healthy subjects with 98% accuracy. In the DMD patients, average EIM phase measurements also correlated well with standard functional measures. For example the 50 kHz phase correlated with the Northstar Ambulatory Assessment test (R = 0.83, p = 0.02). EIM 50 kHz phase and US correlated as well, with R = -0.79 (p < 0.001). These results show that EIM provides valuable objective measures Duchenne muscular dystrophy severity.

Identifiers

PMID23894248
PMCPMC3721184
OpenAlexW2122803772

What OpenQuestion holds

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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.