Evidence map›Paper›PMID 33669967›Full record

ArticleBiomolecules2021

Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform.

Péter Pikó, László Pál, Sándor Szűcs, Zsigmond Kósa, János Sándor, Róza Ádány

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 47 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Péter PikóMTA-DE Public Health Research Group, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-5539-907X
László PálDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Sándor SzűcsDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0003-4672-4066
Zsigmond KósaDepartment of Health Methodology and Public Health, Faculty of Health, University of Debrecen, 4400 Nyíregyháza, Hungary.
János SándorDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Róza ÁdányMTA-DE Public Health Research Group, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-9679-6669
University of Debrecen · HU

Funding

European Regional Development Fund GINOP-2.3.2-15-2016-00005Hungarian Academy of Sciences TK2016-78National Research, Development and Innovation Fund of Hungary Project no. 135784
6 · The paper itself

Abstract

Obesity is an increasing public health concern both in the developed and developing countries. Previous studies have demonstrated that considerable alterations in lipid metabolism and consequently marked changes in lipid profile are associated with the onset and progression of obesity-related complications. To characterize the full spectrum of obesity-induced changes in lipid metabolism, direct infusion tandem mass spectrometry analysis is the most promising approach. To better understand which of the many lipid species are the most strongly associated with obesity, the aim of our work was to measure and profile plasma lipids in normal (

Indexed as

LipidomicsAdultBody Mass IndexFemaleHumansHungaryLipid MetabolismLipidsMaleMiddle AgedObesityOverweightPrincipal Component AnalysisRegression AnalysisTandem Mass SpectrometryLipidsbody mass index (BMI), lipidomic analysisexploratory principal component analysislipid species ratioLipidyzer platformobesitystepwise regression analysis

Identifiers

PMID33669967
PMCPMC7924880
OpenAlexW3130696412

What OpenQuestion 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 OpenQuestion graph.