Evidence map›Paper›PMID 30551614›Full record

ArticleNutrients2018

Gender- and Age-Related Changes in Trunk Muscle Composition Using Chemical Shift Encoding-Based Water⁻Fat MRI.

Egon Burian, Jan Syväri, Christina Holzapfel, Theresa Drabsch, Jan S Kirschke, Ernst J Rummeny, Claus Zimmer, Hans Hauner, Dimitrios C Karampinos, Thomas Baum and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Proton density fat fraction: magnetic resonance imaging applications beyond the liver.Diagnostic and interventional radiology (Ankara, Turkey) · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. MRI and muscle imaging for idiopathic inflammatory myopathies.Brain pathology (Zurich, Switzerland) · 2021
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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 1 institution in 1 country.

Egon BurianDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. e.burian@gmx.net.ORCID 0000-0003-0428-8569
Jan SyväriDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. jan.syvaeri@tum.de.
Christina HolzapfelInstitute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany. christina.holzapfel@tum.de.
Theresa DrabschInstitute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany. theresa.drabsch@tum.de.ORCID 0000-0002-2127-8875
Jan S KirschkeDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. jan.kirschke@tum.de.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. ernst.rummeny@tum.de.
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. claus.zimmer@tum.de.
Hans HaunerInstitute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany. hans.hauner@tum.de.
Dimitrios C KarampinosDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. dimitrios.karampinos@tum.de.ORCID 0000-0003-4922-3662
Thomas BaumDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. thomas.baum@tum.de.
Daniela FranzDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. daniela.franz@tum.de.ORCID 0000-0002-7598-8485
TUM Klinikum · DE

Funding

European Research Council 677661German Research Council 637164German Research Council 677661German Research Foundation DFG-SFB824/A9
6 · The paper itself

Abstract

Ageing, sarcopenia, and malnutrition are associated with quantitative and qualitative changes of body composition. There are several imaging modalities, including magnetic resonance imaging (MRI), for the assessment of trunk muscle tissue composition. In this study, we investigated the gender- and age-related changes in trunk muscle composition using chemical shift encoding-based water⁻fat MRI. A total of 79 healthy volunteers (26 men: 38.9 ± 10.4 years; 53 women: 39.5 ± 15.0 years) underwent 3T axial MRI using a six-echo multi-echo 3D spoiled gradient echo sequence, allowing for the calculation of the proton density fat fraction (PDFF) in the trunk muscles. PDFF of the abdominal, psoas, and erector spinae muscles were determined. We detected significant positive correlations for abdominal muscle PDFF with age (

Indexed as

AgingAdipose TissueAdultAge FactorsBody CompositionBody WaterFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle, SkeletalSex FactorsBMImagnetic resonance imagingmuscular fat depositionobesityskeletal muscle

Identifiers

PMID30551614
PMCPMC6315838
OpenAlexW2904352495

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.