Evidence map›Paper›PMID 33377299›Full record

ArticleJournal of cachexia, sarcopenia and muscle2021

Lean regional muscle volume estimates using explanatory bioelectrical models in healthy subjects and patients with muscle wasting.

Damien Bachasson, Alper Carras Ayaz, Jessie Mosso, Aurélie Canal, Jean-Marc Boisserie, Ericky C A Araujo, Olivier Benveniste, Harmen Reyngoudt, Benjamin Marty, Pierre G Carlier and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. MRI and muscle imaging for idiopathic inflammatory myopathies.Brain pathology (Zurich, Switzerland) · 2021
    Review
  4. Article
  5. 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

11 authors at 3 institutions in 1 country.

Damien BachassonInstitute of Myology, Neuromuscular Investigation Center, Neuromuscular Physiology and Evaluation Laboratory, Paris, France.ORCID 0000-0001-6335-9916
Alper Carras AyazInstitute of Myology, Neuromuscular Investigation Center, Neuromuscular Physiology and Evaluation Laboratory, Paris, France.
Jessie MossoInstitute of Myology, Neuromuscular Investigation Center, Neuromuscular Physiology and Evaluation Laboratory, Paris, France.
Aurélie CanalInstitute of Myology, Neuromuscular Investigation Center, Neuromuscular Physiology and Evaluation Laboratory, Paris, France.
Jean-Marc BoisserieInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.
Ericky C A AraujoInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.ORCID 0000-0002-1352-0879
Olivier BenvenisteDepartment of Internal Medicine and Clinical Immunology and Inflammation-Immunopathology-Biotherapy Department (I2B), Pitié-Salpêtrière University Hospital, Assistance Publique-Hôpitaux de Paris, East Paris Neuromuscular Diseases Reference Center, Inserm U974, Sorbonne Université, Paris, France.ORCID 0000-0002-1167-5797
Harmen ReyngoudtInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.ORCID 0000-0002-0777-2711
Benjamin MartyInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.ORCID 0000-0002-4983-647X
Pierre G CarlierInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.ORCID 0000-0002-2315-6927
Jean-Yves HogrelInstitute of Myology, Neuromuscular Investigation Center, Neuromuscular Physiology and Evaluation Laboratory, Paris, France.ORCID 0000-0003-0045-7505
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInstitut de Myologie · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe availability of non-invasive, accessible, and reliable methods for estimating regional skeletal muscle volume is paramount in conditions involving primary and/or secondary muscle wasting. This work aimed at (i) optimizing serial bioelectrical impedance analysis (S

methodsTwenty healthy participants with variable body mass index and 20 patients with idiopathic inflammatory myopathies underwent quantitative MRI. Anatomical images and fat fraction maps were acquired in thighs. After manual muscle segmentation, lean thigh muscle volume (lV

resultsElectrical conductivity constant values ranged from 0.82 S/m at 50 kHz to 1.16 S/m at 350 kHz. The absolute percentage difference between lV

conclusionsThese findings demonstrate a strong agreement of lean muscle volume estimated using S

Indexed as

Muscle, SkeletalBody CompositionElectric ImpedanceHealthy VolunteersHumansReproducibility of ResultsBioelectrical impedance analysisMuscle atrophyMuscle fatty infiltrationMuscle massMuscle volumeMyopathiesSkeletal muscle

Identifiers

PMID33377299
PMCPMC7890267
OpenAlexW3114445505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.