Evidence map›Paper›PMID 29476692›Full record

ArticleMuscle & nerve2018

Predicting myofiber size with electrical impedance myography: A study in immature mice.

Kush Kapur, Rebecca S Taylor, Kristin Qi, Janice A Nagy, Jia Li, Benjamin Sanchez, Seward B Rutkove

Abstract read
In one paragraph

Article in Muscle & nerve, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  9. Article
  10. Electrical impedance myography: A critical review and outlook.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Electrical Impedance Methods in Neuromuscular Assessment: An Overview.Cold Spring Harbor perspectives in medicine · 2019
    Review
  19. Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2019
    Article
  20. 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

7 authors at 2 institutions in 1 country.

Kush KapurDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, 02115, USA.
Rebecca S TaylorDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, TCC-810 Boston, Massachusetts, 02215, USA.
Kristin QiDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, TCC-810 Boston, Massachusetts, 02215, USA.
Janice A NagyDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, TCC-810 Boston, Massachusetts, 02215, USA.
Jia LiDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, TCC-810 Boston, Massachusetts, 02215, USA.
Benjamin SanchezDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, TCC-810 Boston, Massachusetts, 02215, USA.ORCID http://orcid.org/0000-0002-1594-9847
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, TCC-810 Boston, Massachusetts, 02215, USA.
Beth Israel Deaconess Medical Center · USBoston Children's Hospital · US

Funding

Next generation electrical impedance myography: the virtual muscle biopsyR01NS091159 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI RUTKOVE, SEWARD B. · 2015 to 2019
$1.9M
NINDS NIH HHS R01 NS091159
6 · The paper itself

Abstract

introductionElectrical impedance can be used to estimate cellular characteristics. We sought to determine whether it could be used to approximate myofiber size using standard prediction modeling approaches.

methodsForty-four C57BL/6J wild-type immature mice of varying ages underwent electrical impedance myography (EIM) with a needle electrode array placed in the gastrocnemius. Animals were then humanely killed and muscle fixed, stained, and myofiber size quantified. Two different statistical prediction models were then applied.

resultsImpedance parameters showed major variation with increasing myofiber size. The prediction models based on EIM data alone were able to predict fiber size, with errors in the range of ±69.05-78.44 µm DISCUSSION: By using well-established statistical models, EIM data alone can provide a satisfactory estimate of myofiber size. Additional study of this approach for approximating myofiber size without the requirement of removing tissue for histological analysis is warranted. Muscle Nerve, 2018.

Indexed as

electrical impedance myographymousemyofiberphasepredictionreactanceresistance

Identifiers

PMID29476692
PMCPMC6108958
OpenAlexW2792231314

What OpenQuestion holds

Textmetadata
LicenceTDM
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.