Evidence map›Paper›PMID 32548155›Full record

ArticleWorld journal of clinical cases2020

Metabolic biomarkers and long-term blood pressure variability in military young male adults.

Yu-Kai Lin, Pang-Yen Liu, Chia-Hao Fan, Kun-Zhe Tsai, Yen-Po Lin, Ju-Mi Lee, Jiunn-Tay Lee, Gen-Min Lin

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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  6. Electrocardiographic and echocardiographic predictors of greater carotid intima-media thickness in tactical athletes: The CHIEF atherosclerosis study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023
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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

8 authors at 4 institutions in 2 countries.

Yu-Kai LinDepartment of Medicine, Hualien Armed Forces General Hospital, Hualien 970, Taiwan.
Pang-Yen LiuDepartment of Medicine, Tri-Service General Hospital and National Defense Medical Center, Taipei 114, Taiwan.
Chia-Hao FanDepartment of Medicine, Hualien Armed Forces General Hospital, Hualien 970, Taiwan.
Kun-Zhe TsaiDepartment of Medicine, Hualien Armed Forces General Hospital, Hualien 970, Taiwan.
Yen-Po LinDepartment of Critical Care Medicine, Taipei Tzu-Chi General Hospital, New Taipei City 231, Taiwan.
Ju-Mi LeeDepartment of Preventive Medicine, Eulji College of Medicine, Daejeon 34824, South Korea.
Jiunn-Tay LeeDepartments of Neurology, Tri-Service General Hospital, and Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 114, Taiwan.
Gen-Min LinDepartment of Medicine, Hualien Armed Forces General Hospital, Hualien 970, Taiwan.
Hualien Armed Forces General Hospital · TWNational Defense Medical Center · TWTaipei Tzu Chi Hospital · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome is a cluster of cardiovascular risk factors, including central obesity, high blood pressure, elevated plasma glucose, reduced high-density lipoprotein and elevated triglyceride levels.

aimTo investigate the relationship between metabolic biomarkers and long-term blood pressure variability (BPV) in young males.

methodsA cohort of 1112 healthy military males aged 18-40 years from the cardiorespiratory fitness and hospitalization events in armed forces study in eastern Taiwan was prospectively included. The following metabolic biomarkers were used: Waist circumference, serum uric acid (SUA), triglycerides, high density lipoprotein, triglycerides, and fasting glycose. BPV was assessed by average real variability (ARV) and standard deviation (SD) across 4 clinic visits during the study period (2012-14, 2014-15, 2015-16, and 2016-18). Multivariable linear regression analysis was used to determine the association after adjusting for age, body mass index, systolic and diastolic blood pressure (SBP and DBP), lipid profiles, physical activity, alcohol intake and tobacco smoking status.

resultsIn the unadjusted model, waist circumference was significantly and positively correlated with ARV

conclusionOur findings showed that of traditional metabolic biomarkers, SUA had the strongest positive correlation with long-term systolic and diastolic BPV in young male adults, and the clinical relevance needs further investigation.

Indexed as

Blood pressure variabilityMetabolic syndromeSerum uric acidYoung males

Identifiers

PMID32548155
PMCPMC7281053
OpenAlexW3033883226

What OpenQuestion holds

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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.