Evidence map›Paper›PMID 32334557›Full record

ArticleBMC public health2020

Effect of metabolic syndrome on coronary heart disease in rural minorities of Xinjiang: a retrospective cohort study.

Changjing Li, Jia He, Bin Wei, Xianghui Zhang, Xinping Wang, Jingyu Zhang, Kui Wang, Yunhua Hu, Lati Mu, Yizhong Yan and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 1 institution in 1 country.

Changjing LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Bin WeiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xianghui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xinping WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jingyu ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Kui WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yunhua HuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Lati MuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yizhong YanDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jiaolong MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yanpeng SongDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Rulin MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Shuxia GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China. gsxshzu@sina.com.
Shihezi University · CN

Funding

National Natural Science Foundation of China 81560551
6 · The paper itself

Abstract

backgroundMetabolic syndrome is diagnosed by a cluster of risk factors that associated with an increased risk of coronary heart disease (CHD). We aimed to explore the impact of and interactions between individual metabolic syndrome components on the risk of CHD in Xinjiang.

methodsThe baseline population included 7635 participants. The degree to which the components increase the risk of CHD and the multiplicative interactions between them were assessed using hazard ratios (HRs) and 95% confidence intervals (CIs). Additive interactions were appraised by the relative excess risk due to interaction, synergy index (SI), and attributable proportion of interaction.

resultsA total of 304 CHD patients were enrolled from rural residents of Xinjiang. Elevated blood pressure (HR 1.81; 95% CI 1.35-2.44) and elevated fasting blood glucose (FBG) (HR 1.82; 95% CI 1.38-2.38) increased the risk of CHD after adjustment for confounding factors. We found a positive additive interaction (SI 1.14; 95% CI 0.51-2.51) between elevated blood pressure and elevated FBG, but none were significant. As the number of components increased, the risk of CHD increased. The combinations of [high triglycerides (TG) + low high-density lipoprotein cholesterol (HDL-C) + elevated FBG + large waistline] (HR 4.26; 95% CI 1.43-12.73) and [elevated blood pressure + elevated FBG + low HDL-C + large waistline] (HR 1.82; 95% CI 1.38-2.38) increased the risk of CHD.

conclusionsWe provide evidence that elevated blood pressure and elevated FBG are independent risk factors for CHD and it might be necessary to maintain the normal waistline for preventing CHD.

Indexed as

AdultAgedChinaCoronary DiseaseFemaleHumansMaleMetabolic SyndromeMiddle AgedMinority GroupsProportional Hazards ModelsRetrospective StudiesRisk FactorsRural PopulationCoronary heart diseaseEpidemiologyInteractionMetabolic syndromeRisk factor

Identifiers

PMID32334557
PMCPMC7183686
OpenAlexW3020092296

What OpenQuestion holds

Textmetadata
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.