Evidence map›Paper›PMID 33063867›Full record

ArticleMuscle & nerve2021

Predicting myofiber cross-sectional area and triglyceride content with electrical impedance myography: A study in db/db mice.

Sarbesh R Pandeya, Janice A Nagy, Daniela Riveros, Carson Semple, Rebecca S Taylor, Marie Mortreux, Benjamin Sanchez, Kush Kapur, Seward B Rutkove

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Muscle & nerve, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06491732 (Electrical Impedance Myography Via the Myolex mScan as an ALS Biomarker), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-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.

NCT06491732 recruitingnot on this mapstarted 2025, after this paper: background citation

Electrical Impedance Myography Via the Myolex mScan as an ALS Biomarker

TypeobservationalSponsorBeth Israel Deaconess Medical CenterRan2025 to 2027Enrolled80ConditionsAmyotrophic Lateral SclerosisArmsElectrical Impedance Myography
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

9 authors at 2 institutions in 1 country.

Sarbesh R PandeyaDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Janice A NagyDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Daniela RiverosDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Carson SempleDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Rebecca S TaylorDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Marie MortreuxDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8567-8184
Benjamin SanchezDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-1594-9847
Kush KapurDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-6375-3312
Beth Israel Deaconess Medical Center · USBoston Children's Hospital · US

Funding

Electrical Impedance Myography in an Animal ModelR01NS055099 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI RUTKOVE, SEWARD B. · 2007 to 2022
$5.1M
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 NS055099NINDS NIH HHS R01 NS091159
6 · The paper itself

Abstract

backgroundElectrical impedance myography (EIM) provides insight into muscle composition and structure. We sought to evaluate its use in a mouse obesity model characterized by myofiber atrophy.

methodsWe applied a prediction algorithm, ie, the least absolute shrinkage and selection operator (LASSO), to surface, needle array, and ex vivo EIM data from db/db and wild-type mice and assessed myofiber cross-sectional area (CSA) histologically and triglyceride (TG) content biochemically.

resultsEIM data from all three modalities provided acceptable predictions of myofiber CSA with average root mean square error (RMSE) of 15% in CSA (ie, ±209 μm

conclusionsEIM combined with a predictive algorithm provides reasonable estimates of myofiber CSA and TG content without the need for biopsy.

Indexed as

Electric ImpedanceTriglyceridesAnimalsAtrophyDisease Models, AnimalMaleMiceMice, Inbred C57BLMice, TransgenicMuscle Fibers, SkeletalMuscle, SkeletalMyographyTriglycerideselectrical impedance myographyLASSO prediction algorithmmuscle triglyceride contentmyofiber atrophymyofiber sizeobesity-induced sarcopenia

Identifiers

PMID33063867
PMCPMC8891989
OpenAlexW3093294893

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.