Evidence map›Paper›PMID 26422201›Full record

ArticlePloS one2015

Improved Estimation of Human Lipoprotein Kinetics with Mixed Effects Models.

Martin Berglund, Martin Adiels, Marja-Riitta Taskinen, Jan Borén, Bernt Wennberg

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 2 countries.

Martin BerglundDepartment of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Göteborg, Sweden.
Martin AdielsDepartment of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Göteborg, Sweden; Department of Molecular and Clinical Medicine, University of Gothenburg, Göteborg, Sweden.
Marja-Riitta TaskinenDepartment of Medicine, Cardiovascular Research Unit, Diabetes and Obesity Research Program, Heart and Lung Center, University of Helsinki, Helsinki, Finland.
Jan BorénDepartment of Molecular and Clinical Medicine, University of Gothenburg, Göteborg, Sweden.
Bernt WennbergDepartment of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Göteborg, Sweden.
University of Gothenburg · SEChalmers University of Technology · SEUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextMathematical models may help the analysis of biological systems by providing estimates of otherwise un-measurable quantities such as concentrations and fluxes. The variability in such systems makes it difficult to translate individual characteristics to group behavior. Mixed effects models offer a tool to simultaneously assess individual and population behavior from experimental data. Lipoproteins and plasma lipids are key mediators for cardiovascular disease in metabolic disorders such as diabetes mellitus type 2. By the use of mathematical models and tracer experiments fluxes and production rates of lipoproteins may be estimated.

resultsWe developed a mixed effects model to study lipoprotein kinetics in a data set of 15 healthy individuals and 15 patients with type 2 diabetes. We compare the traditional and the mixed effects approach in terms of group estimates at various sample and data set sizes.

conclusionWe conclude that the mixed effects approach provided better estimates using the full data set as well as with both sparse and truncated data sets. Sample size estimates showed that to compare lipoprotein secretion the mixed effects approach needed almost half the sample size as the traditional method.

Indexed as

Diabetes Mellitus, Type 2Models, ChemicalHumansKineticsLipoproteins, VLDLLipoproteins, VLDL

Identifiers

PMID26422201
PMCPMC4589417
OpenAlexW2124481291

What OpenQuestion holds

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LicenceCC BY
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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.