Evidence map›Paper›PMID 27571403›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

In vivo triglyceride composition of abdominal adipose tissue measured by

Gavin Hamilton, Alexandra N Schlein, Michael S Middleton, Catherine A Hooker, Tanya Wolfson, Anthony C Gamst, Rohit Loomba, Claude B Sirlin

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Trial
  2. Abdominal simultaneous 3D water TMagnetic resonance in medicine · 2026
    Article
  3. BMagnetic resonance in medicine · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Differentiating supraclavicular from gluteal adipose tissue based on simultaneous PDFF and TJournal of magnetic resonance imaging : JMRI · 2019 · on this map
    Article
  17. Ultralong TE In VivoJournal of magnetic resonance imaging : JMRI · 2019
    Article
  18. Mapping tissue water TNMR in biomedicine · 2019
    Article
  19. 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

8 authors.

Gavin HamiltonLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.
Alexandra N SchleinLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.
Michael S MiddletonLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.
Catherine A HookerLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.
Tanya WolfsonComputational and Applied Statistics Lab, San Diego Supercomputing Center, San Diego, California, USA.
Anthony C GamstComputational and Applied Statistics Lab, San Diego Supercomputing Center, San Diego, California, USA.
Rohit LoombaDepartment of Family Medicine and Public Health, University of California, San Diego, San Diego, California, USA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, California, USA.

Funding

Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
MR Imaging of Non-Alcoholic Fatty Liver DiseaseR01DK075128 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SIRLIN, CLAUDE B · 2006 to 2010
$2.4M
NIDDK NIH HHS R01 DK075128NIDDK NIH HHS R01 DK088925
6 · The paper itself

Abstract

purposeTo investigate the regional variability of adipose tissue triglyceride composition in vivo using MATERIALS AND

methods

resultsMean ndb and nmidb showed significant (P < 0.0001) differences between depots except for dSCAT and sSCAT nmidb (dSCAT ndb 2.797, nmidb 0.745; sSCAT ndb 2.826, nmidb 0.737; VAT ndb 2.723, nmidb 0.687). All ndb and nmidb estimates were highly repeatable (VAT ndb ICC = 0.888, nmidb ICC = 0.853; sSCAT: ndb ICC = 0.974, nmidb ICC = 0.964; dSCAT: ndb ICC = 0.959, nmidb ICC = 0.948).

conclusionAdipose tissue composition can be estimated repeatably using LEVEL OF EVIDENCE: 2 J. MAGN. RESON. IMAGING 2017;45:1455-1463.

Indexed as

Magnetic Resonance SpectroscopyAbdominal FatAdultAgedAged, 80 and overArtifactsFemaleHumansImage Processing, Computer-AssistedIntra-Abdominal FatMaleMiddle AgedPhantoms, ImagingProspective StudiesProton Magnetic Resonance SpectroscopySubcutaneous FatTriglyceridesadipose tissuefatty acidsmagnetic resonance spectroscopytriglyceride composition

Identifiers

PMID27571403
PMCPMC5332519

What OpenQuestion holds

Textmetadata
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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.