Evidence map›Paper›PMID 29492904›Full record

ArticleEndocrine2018

The associations of metabolic syndrome with incident hypertension, type 2 diabetes mellitus and chronic kidney disease: a cohort study.

Chengyi Ding, Zhirong Yang, Shengfeng Wang, Feng Sun, Siyan Zhan

Abstract read
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In one paragraph

Article in Endocrine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Serum triglyceride levels and incidence of hypertension in a general Japanese population: ISSA-CKD study.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
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  17. The emerging role of dyslipidemia in diabetic microvascular complications.Current opinion in endocrinology, diabetes, and obesity · 2020
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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

5 authors.

Chengyi DingResearch Department of Epidemiology and Public Health, University College London, London, UK.
Zhirong YangPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridgeshire, UK.
Shengfeng WangDepartment of Epidemiology and Biostatistics,School of Public Health, Peking University, Beijing, China.
Feng SunDepartment of Epidemiology and Biostatistics,School of Public Health, Peking University, Beijing, China. sunfeng@bjmu.edu.cn.ORCID 0000-0003-4334-6805
Siyan ZhanDepartment of Epidemiology and Biostatistics,School of Public Health, Peking University, Beijing, China. siyan-zhan@bjmu.edu.cn.

Funding

Interdisciplinary Fund from Peking University BMU20160581National Natural Science Foundation of China 71673003
6 · The paper itself

Abstract

purposeMetabolic syndrome (MetS) has been extensively studied for its long-term health effects, typically through conventional Cox proportional hazards regression modeling of the overall association of MetS with a single outcome. Such an approach neglects the inherent links between MetS-related disease outcomes and fails to provide sufficient insights into the impact of each component of MetS over time.

methodsWe therefore conducted a retrospective cohort study of 63,680 individuals who received health check-ups at the MJ Health Screening Center in Taiwan from 1997-2005 to study the subsequent risks of hypertension, type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) simultaneously for MetS and its components. Multivariate-adjusted hazard ratios (HRs) were calculated using Cox models for multiple failure outcomes.

resultsAt baseline, MetS was identified in 7835 participants. Over a median follow-up of 3 years, 8252, 1634, and 6714 participants developed hypertension, T2DM and CKD, respectively. The HR for MetS was 2.41 (95% CI 2.29-2.53) for hypertension, 5.17 (95% CI 4.68-5.71) for T2DM and 1.22 (95% CI 1.15-1.31) for CKD. Three MetS components showed the strongest association with each of the outcomes: elevated blood pressure with hypertension (HR = 3.62, 95% CI 3.46-3.79), raised fasting plasma glucose with T2DM (HR = 8.89, 95% CI 7.86-10.06) and elevated triglycerides with CKD (HR = 1.14, 95% CI 1.08-1.21).

conclusionsMetS may help identify individuals with metabolic profiles that confer incremental risks for multiple diseases. Additionally, several components of the syndrome should be considered by clinicians, as they show stronger associations with specific diseases than MetS.

Indexed as

AdultAgedDiabetes Mellitus, Type 2FemaleHumansHypertensionIncidenceMaleMetabolic SyndromeMiddle AgedRenal Insufficiency, ChronicRetrospective StudiesRisk AssessmentTaiwanChronic kidney diseaseCohort studyHypertensionMetabolic syndromeRisk factorType 2 diabetes mellitus

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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.