Evidence map›Paper›PMID 33288813›Full record

ArticleScientific reports2020

Novel plasma biomarkers improve discrimination of metabolic health independent of weight.

Stephen Ellison, Jawan W Abdulrahim, Lydia Coulter Kwee, Nathan A Bihlmeyer, Neha Pagidipati, Robert McGarrah, James R Bain, William E Kraus, Svati H Shah

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. Review
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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

9 authors at 2 institutions in 1 country.

Stephen EllisonDepartment of Anesthesiology, Duke University Medical Center, Durham, NC, USA.
Jawan W AbdulrahimDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA.
Lydia Coulter KweeDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA.
Nathan A BihlmeyerDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA.
Neha PagidipatiDivision of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Robert McGarrahDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA.
James R BainDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA.
William E KrausDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA.
Svati H ShahDuke Molecular Physiology Institute, Duke University School of Medicine, 300 North Duke St, Durham, NC, 27701, USA. svati.shah@duke.edu.
Duke University · USDuke University Hospital · US

Funding

The Genetics Of Biobehavioral Risk Factors For CVDP01HL036587 · NHLBI · DUKE UNIVERSITY · PI HAUSER, ELIZABETH R · 1986 to 2020
$35.9M
A Personalized Metabolomic Approach to Human Obesity and Weight LossR01HL127009 · NHLBI · DUKE UNIVERSITY · PI SHAH, SVATI H. · 2016 to 2019
$2.1M
American Heart Association-American Stroke Association 17SFRN33670990NHLBI NIH HHS 5P01-HL036587NHLBI NIH HHS P01 HL036587NHLBI NIH HHS R01 HL127009NIH HHS R01-HL127009
6 · The paper itself

Abstract

We sought to determine if novel plasma biomarkers improve traditionally defined metabolic health (MH) in predicting risk of cardiovascular disease (CVD) events irrespective of weight. Poor MH was defined in CATHGEN biorepository participants (n > 9300), a follow-up cohort (> 5600 days) comprising participants undergoing evaluation for possible ischemic heart disease. Lipoprotein subparticles, lipoprotein-insulin resistance (LP-IR), and GlycA were measured using NMR spectroscopy (n = 8385), while acylcarnitines and amino acids were measured using flow-injection, tandem mass spectrometry (n = 3592). Multivariable Cox proportional hazards models determined association of poor MH and plasma biomarkers with time-to-all-cause mortality or incident myocardial infarction. Low-density lipoprotein particle size and high-density lipoprotein, small and medium particle size (HMSP), GlycA, LP-IR, short-chain dicarboxylacylcarnitines (SCDA), and branched-chain amino acid plasma biomarkers were independently associated with CVD events after adjustment for traditionally defined MH in the overall cohort (p = 3.3 × 10

Indexed as

AgedBiomarkersBody Mass IndexBody WeightFemaleHumansInsulin ResistanceLipoproteinsLipoproteins, HDLMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedMyocardial InfarctionProportional Hazards ModelsRisk FactorsBiomarkersLipoproteinsLipoproteins, HDL

Identifiers

PMID33288813
PMCPMC7721699
OpenAlexW3112428937

What OpenQuestion holds

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LicenceCC BY
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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.