Evidence map›Paper›PMID 26635628›Full record

ReviewFrontiers in physiology2015

Kinetic Studies to Elucidate Impaired Metabolism of Triglyceride-rich Lipoproteins in Humans.

Martin Adiels, Adil Mardinoglu, Marja-Riitta Taskinen, Jan Borén

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Personal model-assisted identification of NADMolecular systems biology · 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 at 3 institutions in 2 countries.

Martin AdielsDepartment of Molecular and Clinical Medicine/Wallenberg Laboratory, University of Gothenburg Gothenburg, Sweden ; Health Metrics Unit, Sahlgrenska Academy, University of Gothenburg Gothenburg, Sweden.
Adil MardinogluDepartment of Biology and Biological Engineering, Chalmers University of Technology Gothenburg, Sweden ; Science for Life Laboratory, KTH - Royal Institute of Technology Stockholm, Sweden.
Marja-Riitta TaskinenHeart and Lung Centre, Helsinki University Hospital and Research Programs' Unit, Diabetes & Obesity, University of Helsinki Helsinki, Finland.
Jan BorénDepartment of Molecular and Clinical Medicine/Wallenberg Laboratory, University of Gothenburg Gothenburg, Sweden.
University of Gothenburg · SEChalmers University of Technology · SEHelsinki University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop novel strategies for prevention and treatment of dyslipidemia, it is essential to understand the pathophysiology of dyslipoproteinemia in humans. Lipoprotein metabolism is a complex system in which abnormal concentrations of various lipoprotein particles can result from alterations in their rates of production, conversion, and/or catabolism. Traditional methods that measure plasma lipoprotein concentrations only provide static estimates of lipoprotein metabolism and hence limited mechanistic information. By contrast, the use of tracers labeled with stable isotopes and mathematical modeling, provides us with a powerful tool for probing lipid and lipoprotein kinetics in vivo and furthering our understanding of the pathogenesis of dyslipoproteinemia.

Indexed as

apoBkineticsmultocomnpartmental modelingstable isotopesvery low density lipoproteins

Identifiers

PMID26635628
PMCPMC4653309
OpenAlexW2182303560

What Socratic 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 Socratic graph.