Evidence map›Paper›PMID 26596676›Full record

ReviewTrends in endocrinology and metabolism: TEM2015

Emerging Technologies and their Applications in Lipid Compartment Measurement.

Steven B Heymsfield, Houchun Harry Hu, Wei Shen, Owen Carmichael

Abstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. How to best assess abdominal obesity.Current opinion in clinical nutrition and metabolic care · 2018
    Review
  12. Obesity: Pathophysiology and Management.Journal of the American College of Cardiology · 2018
    Review
  13. Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain.Metabolomics : Official journal of the Metabolomic Society · 2017
    Article
  14. Expression of Metabolic Syndrome in Women with Severe Obesity.Metabolic syndrome and related disorders · 2017
    Article
  15. In vivo triglyceride composition of abdominal adipose tissue measured byJournal of magnetic resonance imaging : JMRI · 2017
    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

4 authors.

Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University (LSU) System, 6400 Perkins Road, Baton Rouge, LA 70808, USA. Electronic address: Steven.Heymsfield@pbrc.edu.
Houchun Harry HuPhoenix Children's Hospital, Department of Radiology, 1919 East Thomas Road, Phoenix, AZ 85016, USA.
Wei ShenNew York Obesity Research Center, Department of Pediatrics and Institute of Human Nutrition, Columbia University, New York, NY 10032, USA.
Owen CarmichaelPennington Biomedical Research Center, Louisiana State University (LSU) System, 6400 Perkins Road, Baton Rouge, LA 70808, USA.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
NCATS NIH HHS UL1 TR000040NIDDK NIH HHS P30 DK040561NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

Non-Communicable diseases (NCDs), including obesity, are emerging as the major health concern of the 21st century. Excess adiposity and related NCD metabolic disturbances have stimulated development of new lipid compartment measurement technologies to help us to understand cellular energy exchange, to refine phenotypes, and to develop predictive markers of adverse clinical outcomes. Recent advances now allow quantification of multiple intracellular lipid and adipose tissue compartments that can be evaluated across the human lifespan. With magnetic resonance methods leading the way, newer approaches will give molecular structural and metabolic information beyond the laboratory in real-world settings. The union between these new technologies and the growing NCD population is creating an exciting interface in advancing our understanding of chronic disease mechanisms.

Indexed as

Adipose TissueAdiposityBody CompositionHumansLipidsMagnetic Resonance ImagingObesityLipidsadipositybody compositionimagingmetabolismobesity

Identifiers

PMID26596676
PMCPMC4673021

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.