Evidence map›Paper›PMID 31550292›Full record

ArticlePloS one2019

Serum E-selectin concentration is associated with risk of metabolic syndrome in females.

Chien-Hsing Lee, Feng-Chih Kuo, Wen-Hao Tang, Chieh-Hua Lu, Sheng-Chiang Su, Jhih-Syuan Liu, Chang-Hsun Hsieh, Yi-Jen Hung, Fu-Huang Lin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
1.6field-weighted citation impact, top 16% 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, 20 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

9 authors at 2 institutions in 1 country.

Chien-Hsing LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Feng-Chih KuoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Wen-Hao TangDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, Song Shan Branch, Taipei, Taiwan, ROC.
Chieh-Hua LuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Sheng-Chiang SuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Jhih-Syuan LiuDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Chang-Hsun HsiehDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Yi-Jen HungDivision of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, Song Shan Branch, Taipei, Taiwan, ROC.
Fu-Huang LinSchool of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC.ORCID 0000-0001-9878-9625
Tri-Service General Hospital · TWNational Defense Medical Center · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTraits of metabolic syndrome (MetS) and biomarkers of inflammation and endothelial dysfunction were examined. We investigated the differences of various biomarkers among individuals with or without Mets in a gender-specific manner. The gender-specific associations between E-selectin and MetS were further evaluated.

methodsA total of 205 patients were recruited from the outpatient clinics of Tri-Service General Hospital, Taipei, Taiwan. Inclusion criteria were age between 20-75 years and BMI < 35 kg/m2. Demographic, anthropometric and MetS index data were compared between genders. Markers of inflammation and endothelial dysfunction were compared between individuals with or without MetS by gender.

resultsAge-adjusted E-selectin values showed significant positive correlations with BMI, waist-hip ratio, fasting plasma glucose, systolic and diastolic blood pressure, triglycerides, TNF-α, hsCRP and ICAM-1, and inverse correlation with HDL cholesterol. E-selectin levels were positively correlated with numbers of MetS components in females (P < 0.001) but not in males (P = 0.125).

conclusionsIncreased E-selectin levels are significantly associated with increased MetS risk in females, but not in males.

Indexed as

AdultAgedBiomarkersCross-Sectional StudiesE-SelectinFemaleHumansMaleMetabolic SyndromeMiddle AgedRisk AssessmentRisk FactorsSex FactorsYoung AdultBiomarkersE-SelectinSELE protein, human

Identifiers

PMID31550292
PMCPMC6759160
OpenAlexW2975599967

What OpenQuestion holds

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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.