Evidence map›Paper›PMID 34372765›Full record

SynthesisBMC cardiovascular disorders2021

Association between eNOS rs1799983 polymorphism and hypertension: a meta-analysis involving 14,185 cases and 13,407 controls.

Jikang Shi, Siyu Liu, Yanbo Guo, Sainan Liu, Jiayi Xu, Lingfeng Pan, Yueyang Hu, Yawen Liu, Yi Cheng

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
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  10. Protection against Ischemic Heart Disease: A Joint Role for eNOS and the KInternational journal of molecular sciences · 2023
    Article
  11. Article
  12. Association study ofFrontiers in genetics · 2023
    Article
  13. Article
  14. 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

9 authors.

Jikang ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Siyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Yanbo GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Sainan LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Jiayi XuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Lingfeng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China.
Yueyang HuDepartment of Children and Adolescence Health, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, 130021, China. ywliu@jlu.edu.cn.
Yi ChengThe Cardiovascular Center, The First Hospital of Jilin University, Changchun, 130021, China. chengyi@jlu.edu.cn.ORCID 0000-0002-7352-3641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEssential hypertension is a complex disease determined by the interaction of genetic and environmental factors, eNOS is considered to be one of the susceptible genes for hypertension. Our study aimed to evaluate the association between eNOS rs1799983 polymorphism and hypertension, and to provide evidence for the etiology of hypertension.

methodsCase-control studies of eNOS rs1799983 polymorphism and hypertension were included by searching PubMed, Embase, Web of Science, Medline, Scopus, WanFang datebase, Vip datebase, and CNKI database according to PRISMA guideline. Eligible data were extracted and pooled, and were analyzed using R software based on five different genetic models.

resultsA total of 60 eligible articles involving 14,185 cases and 13,407 controls were finally selected. We found significant association between eNOS rs1799983 polymorphism and hypertension under any genetic model (T vs G: OR = 1.44, 95% CI 1.26-1.63; GT vs GG: OR 1.34, 95% CI 1.18-1.52; TT vs GG: OR 1.80, 95% CI 1.41-2.31; GT + TT vs GG: OR 1.42, 95% CI 1.25-1.63; TT vs GG + GT: OR 1.68, 95% CI 1.35-2.08; GT vs GG + TT: OR 1.24, 95% CI 1.11-1.40).

conclusionsWe found that eNOS rs1799983 polymorphism is associated with the increased risk of hypertension under any genetic model. Moreover, investigations of gene-gene and gene-environment interactions are needed to give more insight into the association between eNOS rs1799983 polymorphism and hypertension.

Indexed as

Polymorphism, Single NucleotideCase-Control StudiesConfidence IntervalsData AnalysisEssential HypertensionGene-Environment InteractionHumansModels, GeneticNitric Oxide Synthase Type IIIOdds RatioPublication BiasNitric Oxide Synthase Type IIINOS3 protein, humaneNOSHypertensionMeta-analysisPolymorphismrs1799983

Identifiers

PMID34372765
PMCPMC8351409

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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.