Evidence map›Paper›PMID 30697368›Full record

ReviewWorld journal of diabetes2019

Exploratory metabolomics of metabolic syndrome: A status report.

Daniella Lent-Schochet, Matthew McLaughlin, Neeraj Ramakrishnan, Ishwarlal Jialal

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 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

4 authors at 1 institution in 1 country.

Daniella Lent-SchochetMetabolism and Clinical Pathology, College of Medicine, California Northstate University, Elk Grove, CA 95757, United States.
Matthew McLaughlinMetabolism and Clinical Pathology, College of Medicine, California Northstate University, Elk Grove, CA 95757, United States.
Neeraj RamakrishnanMetabolism and Clinical Pathology, College of Medicine, California Northstate University, Elk Grove, CA 95757, United States.
Ishwarlal JialalMetabolism and Clinical Pathology, College of Medicine, California Northstate University, Elk Grove, CA 95757, United States.
California Northstate University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) is as a cluster of cardio-metabolic factors that greatly increase the risk of chronic diseases such as type II diabetes mellitus and atherosclerotic cardiovascular disease. In the United States, obesity, physical inactivity, aging, and genetics (to a minor extent) have arisen as risk factors for developing MetS. Although 35% of American adults suffer from MetS, its pathogenesis largely remains unknown. Worse, there is a lack of screening and optimum therapy for this disease. Researchers have consequently turned towards metabolomics to identify biomarkers to better understand MetS. The purpose of this review is to characterize various metabolites and their potential connections to MetS. Numerous studies have also characterized MetS as a disease of increased inflammation, and therefore this review also explores how metabolites play a role in various inflammatory pathways. Our review explores a broad range of metabolites including biogenic amines, branched chain amino acids, aromatic amines, phosphatidylcholines, as well as a variety of other molecules. We will explore their biochemical pathways and their potential role in serving as biomarkers.

Indexed as

Amino acidsBiomarkersCarnitineDiabetesInflammationMetabolic syndromeSyndrome X, Metabolomics

Identifiers

PMID30697368
PMCPMC6347655
OpenAlexW2910801645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.