Evidence map›Paper›PMID 31740739›Full record

ArticleScientific reports2019

Association of longitudinal risk profile trajectory clusters with adipose tissue depots measured by magnetic resonance imaging.

Susanne Rospleszcz, Roberto Lorbeer, Corinna Storz, Christopher L Schlett, Christa Meisinger, Barbara Thorand, Wolfgang Rathmann, Fabian Bamberg, Wolfgang Lieb, Annette Peters

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Intra-pancreatic fat deposition: bringing hidden fat to the fore.Nature reviews. Gastroenterology & hepatology · 2022
    Review
  10. Article
  11. Parental obesity-induced changes in developmental programming.Frontiers in cell and developmental biology · 2022
    Review
  12. Evolution of Cardiovascular Risk Factors in a Worker Cohort: A Cluster Analysis.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Association of antecedent cardiovascular risk factor levels and trajectories with cardiovascular magnetic resonance-derived cardiac function and structure.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    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

10 authors.

Susanne RospleszczInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany. susanne.rospleszcz@helmholtz-muenchen.de.
Roberto LorbeerDepartment of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
Corinna StorzDepartment of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Christa MeisingerInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Barbara ThorandInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Wolfgang RathmannGerman Center for Diabetes Research (DZD), München-Neuherberg, Neuherberg, Germany.
Fabian BambergDepartment of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
Wolfgang LiebInstitute of Epidemiology and Biobank PopGen, Kiel University, Kiel, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the study was to identify associations of longitudinal trajectories of traditional cardiometabolic risk factors with abdominal and ectopic adipose tissue depots measured by magnetic resonance imaging (MRI). We measured total abdominal, visceral, and subcutaneous adipose tissue in liter and intrahepatic, intrapancreatic and renal sinus fat as fat fractions by MRI in 325 individuals free of cardiovascular disease at Exam 3 of a population-based cohort. We related these MRI measurements at Exam 3 to longitudinal risk profile trajectory clusters, based on risk factor measurements from Exam 3, Exam 2 (seven years prior to MRI) and Exam 1 (14 years prior to MRI). Based on the levels and longitudinal trajectories of several risk factors (blood pressure, lipid profile, anthropometric measurements, HbA1c), we identified three different trajectory clusters. These clusters displayed a graded association with all adipose tissue traits after adjustment for potential confounders (e.g. visceral adipose tissue: β

Indexed as

Adipose TissueAdultAgedBody Mass IndexCardiovascular DiseasesDiabetes MellitusFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedRisk FactorsSubcutaneous Fat

Identifiers

PMID31740739
PMCPMC6861315

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Registered trials

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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.