Evidence map›Paper›PMID 34238370›Full record

ArticleDiabetology & metabolic syndrome2021

Effect of KCNQ1 rs2237892 polymorphism on the predisposition to type 2 diabetes mellitus: An updated meta-analysis.

Hong-Liang Jiang, Han Du, Ying-Jun Deng, Xue Liang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Multigenerational diabetes mellitus.Frontiers in endocrinology · 2023
    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

4 authors.

Hong-Liang JiangDepartment of Anorectal Medicine, Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Gaozhou, 525025, Guangdong, China.
Han DuDermatology Department of Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, No. 32 Maoming Avenue, Gaozhou, 525025, Guangdong, China. duhandh226@163.com.
Ying-Jun DengThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, China.
Xue LiangDepartment of Science and Education, Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Gaozhou, 525025, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious studies have analyzed the potential effect of KCNQ1 rs2237892 polymorphism on the predisposition to type 2 diabetes mellitus, but the findings are inconclusive and the subject of debate. The purpose of our study was to provide further insight into the potential association between KCNQ1 rs2237892 polymorphism and the risk of type 2 diabetes mellitus.

methodsIn total, 50 articles (60 studies) with 77,276 cases and 76,054 controls were utilized in our analysis. The pooled odds ratio (OR), 95% confidence interval (95% CI), and p value were used to evaluate the significance of our findings. Funnel plots and Beggar's regression tests were utilized to determine the presence of publication bias.

resultsOur meta-analysis results indicated that KCNQ1 rs2237892 polymorphism could be correlated with the risk of type 2 diabetes mellitus under the C allelic, recessive, and dominant genetic models (OR = 1.25, 95% 1.19-1.32, p < 0.001; OR = 1.50, 95% CI 1.34-1.68, p < 0.001; OR = 1.26, 95% CI 1.14-1.40, p < 0.001, respectively). Additionally, ethnicity analysis revealed that the source of control, case size, and Hardy-Weinberg Equilibrium status were correlated to the polymorphism in the three genetic models.

conclusionsOur meta-analysis demonstrated significant evidence to support the association between KCNQ1 rs2237892 polymorphism and predisposition to type 2 diabetes mellitus.

Indexed as

KCNQ1 rs2237892Meta-analysisPolymorphismT2DM

Identifiers

PMID34238370
PMCPMC8264960

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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.