Evidence map›Paper›PMID 30210352›Full record

ArticleFrontiers in physiology2018

Metabolomics Study of the Biochemical Changes in the Plasma of Myocardial Infarction Patients.

Mingdan Zhu, Yanqi Han, Yu Zhang, Shaoqiang Zhang, Congcong Wei, Zidong Cong, Wuxun Du

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 27 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

7 authors at 2 institutions in 1 country.

Mingdan ZhuSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yanqi HanTianjin Engineering Laboratory of Quality Control Techniques for Traditional Chinese Medicine, Tianjin Institute of Pharmaceutical Research, Co., Ltd., Tianjin, China.
Yu ZhangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Shaoqiang ZhangSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Congcong WeiSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Zidong CongSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Wuxun DuSecond Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianjin University of Traditional Chinese Medicine · CNTianjin Institute of Pharmaceutical Research (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) is a common and multifactorial disease that has the highest morbidity and mortality in the world. Although a number of physiological, pathological, and functional parameters have been investigated, only scarce information regarding the changes of small metabolites in the plasma has been reported, and this lack of information may cause poor MI diagnosis and treatment. In the present study, we aimed to investigate the metabolic profiles of plasma samples from MI patients to identify potential disease biomarkers and to study the pathology of MI. Metabolic profiles of the plasma of 30 MI patients and 30 controls were obtained using ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. The resulting data were processed using pattern recognition approaches, including principal component analysis and partial least squares-discriminant analysis, to identify the metabolites that differed between the groups. Significant differences in the plasma levels of the following 10 metabolites were observed in the MI patients compared with the controls: phosphatidylserine, C16-sphingosine,

Indexed as

metabolomicsmyocardial infarctionpotential biomarkersprincipal component analysis (PCA)UPLC/ESI–Q-TOF/MS

Identifiers

PMID30210352
PMCPMC6123371
OpenAlexW2888836194

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.