Evidence map›Paper›PMID 29807528›Full record

SynthesisLipids in health and disease2018

Associations between three common single nucleotide polymorphisms (rs266729, rs2241766, and rs1501299) of ADIPOQ and cardiovascular disease: a meta-analysis.

Joseph Sam Kanu, Shuang Qiu, Yi Cheng, Ri Li, Changgui Kou, Yulu Gu, Ye Bai, Jikang Shi, Yong Li, Yunkai Liu and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Polymorphic and Expressional Analysis of GenesInternational journal of hypertension · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Associations of SNPs of theBiomolecules · 2019
    Article
  12. Review
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

12 authors.

Joseph Sam KanuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Shuang QiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Yi ChengThe Cardiovascular Center, the First Hospital of Jilin University, Changchun, 130021, China.
Ri LiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Changgui KouDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Yulu GuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Ye BaiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Jikang ShiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Yong LiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Yunkai LiuThe Cardiovascular Center, the First Hospital of Jilin University, Changchun, 130021, China.
Yaqin YuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, 1163 Xinmin Street, Changchun, 130021, China. ywliu@jlu.edu.cn.ORCID http://orcid.org/0000-0003-2859-4771

Funding

Ministry of Science and Technology of the People's Republic of China 2015DFA31580National Natural Science Foundation of China 81573230Science and Technology Commission of Jilin Province 20150101130JC
6 · The paper itself

Abstract

backgroundInconsistencies have existed in research findings on the association between cardiovascular disease (CVD) and single nucleotide polymorphisms (SNPs) of ADIPOQ, triggering this up-to-date meta-analysis.

methodsWe searched for relevant studies in PubMed, EMBASE, Cochrane Library, CNKI, CBM, VIP, and WanFang databases up to 1st July 2017. We included 19,106 cases and 31,629 controls from 65 published articles in this meta-analysis. STATA 12.0 software was used for all statistical analyses.

resultsOur results showed that rs266729 polymorphism was associated with the increased risk of CVD in dominant model or in heterozygote model; rs2241766 polymorphism was associated with the increased risk of CVD in the genetic models (allelic, dominant, recessive, heterozygote, and homozygote). In subgroup analysis, significant associations were found in different subgroups with the three SNPs. Meta-regression and subgroup analysis showed that heterogeneity might be explained by other confounding factors. Sensitivity analysis revealed that the results of our meta-analysis were stable and robust. In addition, the results of trial sequential analysis showed that evidences of our results are sufficient to reach concrete conclusions.

conclusionsIn conclusion, our meta-analysis found significant increased CVD risk is associated with rs266729 and rs2241766, but not associated with rs1501299.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdiponectinCardiovascular DiseasesGenetic Association StudiesHumansAdiponectinADIPOQ protein, humanADIPOQAssociationCardiovascular diseaseMeta-analysisSingle nucleotide polymorphisms

Identifiers

PMID29807528
PMCPMC5972450

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.