Evidence map›Paper›PMID 32543029›Full record

Observational studyClinical and translational science2020

Serum Metabolomic Profiles Associated With Untreated Metabolic Syndrome Patients in the Chinese Population.

Yuanyuan Li, Yongfa Wang, Yaodong Zhuang, Ping Zhang, Shujiao Chen, Tetsuya Asakawa, Bizhen Gao

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Clinical and translational science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 13 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 2 countries.

Yuanyuan LiResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Yongfa WangDepartment of Endocrinology, Jinjiang Hospital of Traditional Chinese Medicine, Jinjiang, China.
Yaodong ZhuangDepartment of Endocrinology, Jinjiang Hospital of Traditional Chinese Medicine, Jinjiang, China.
Ping ZhangResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Shujiao ChenResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Tetsuya AsakawaResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China.ORCID 0000-0002-2300-3509
Bizhen GaoResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Fujian University of Traditional Chinese Medicine · CNJining Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is a promising technology for elucidating the mechanisms of metabolic syndrome (MetS). However, measurements in patients with MetS under different conditions vary. Metabolomics experiments in different populations and pathophysiological conditions are, therefore, indispensable. We performed a serum metabolomics investigation in untreated patients with MetS in the Chinese population. Untreated patients with MetS were recruited to this study. Metabolites were measured using a traditional

Indexed as

Health Knowledge, Attitudes, PracticePatient Education as TopicAdultAgedBiomarkersCase-Control StudiesChinaDisease ProgressionFemaleHealthy VolunteersHumansLeast-Squares AnalysisMaleMetabolic SyndromeMetabolomicsMiddle AgedBiomarkers

Identifiers

PMID32543029
PMCPMC7719370
OpenAlexW3034235233

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.