Evidence map›Paper›PMID 31187217›Full record

ArticleEuropean radiology2019

Hepatic fat is superior to BMI, visceral and pancreatic fat as a potential risk biomarker for neurodegenerative disease.

Ebba Beller, Roberto Lorbeer, Daniel Keeser, Franziska Schoeppe, Sabine Sellner, Holger Hetterich, Fabian Bamberg, Christopher L Schlett, Annette Peters, Birgit Ertl-Wagner and 1 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Observational
  10. Observational
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 5 institutions in 2 countries.

Ebba BellerDepartment of Diagnostic and Interventional Radiology, University Hospital, Ernst-Heydemann-Str. 6, 18057, Rostock, Germany. Ebba.Beller@med.uni-rostock.de.ORCID http://orcid.org/0000-0002-5268-151X
Roberto LorbeerDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Daniel KeeserDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Franziska SchoeppeDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Sabine SellnerDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Holger HetterichDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Annette PetersHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany.
Birgit Ertl-WagnerDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Sophia StoeckleinDepartment of Radiology, Ludwig-Maximilians University Munich, Munich, Germany.
Ludwig-Maximilians-Universität München · DEUniversity of Freiburg · DEHelmholtz Zentrum München · DEUniversity of Rostock · DEUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrior studies relating body mass index (BMI) to brain volumes suggest an overall inverse association. However, BMI might not be an ideal marker, as it disregards different fat compartments, which carry different metabolic risks. Therefore, we analyzed MR-based fat depots and their association with gray matter (GM) volumes of brain structures, which show volumetric changes in neurodegenerative diseases.

methodsWarp-based automated brain segmentation of 3D FLAIR sequences was obtained in a population-based study cohort. Associations of temporal lobe, cingulate gyrus, and hippocampus GM volume with BMI and MR-based quantification of visceral adipose tissue (VAT), as well as hepatic and pancreatic proton density fat fraction (PDFF

resultsIn a sample of 152 women (age 56.2 ± 9.0 years) and 199 men (age 56.1 ± 9.1 years), we observed a significant inverse association of PDFF

conclusionsWe observed a significant inverse, independent association of cingulate gyrus and hippocampus GM volume with hepatic fat, but not with other obesity measures. Increased hepatic fat could therefore serve as a marker of high-risk fat distribution. KEY POINTS: • Obesity is associated with neurodegenerative processes. • In a population-based study cohort, hepatic fat was superior to BMI and visceral and pancreatic fat as a risk biomarker for decreased brain volume of cingulate gyrus and hippocampus. • Increased hepatic fat could serve as a marker of high-risk fat distribution.

Indexed as

Body Mass IndexBrainFemaleHumansIntra-Abdominal FatLiverMagnetic Resonance ImagingMaleMiddle AgedNeurodegenerative DiseasesPancreasPrognosisTemporal LobeCingulate gyrusHippocampusLiver steatosisMagnetic resonance imagingObesity

Identifiers

PMID31187217
OpenAlexW2950354828

What OpenQuestion holds

Textmetadata
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.