Evidence map›Paper›PMID 32695830›Full record

SynthesisJournal of diabetes research2020

Associations of

Xiao-Xuan Yu, Min-Qi Liao, Yu-Fei Zeng, Xu-Ping Gao, Yan-Hua Liu, Wei Sun, Sui Zhu, Fang-Fang Zeng, Yan-Bin Ye

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Genetic Risk Scores for the Determination of Type 2 Diabetes Mellitus (T2DM) in North India.International journal of environmental research and public health · 2023
    Article
  5. Article
  6. Article
  7. Genes · 2022
    Article
  8. Review
  9. Review
  10. Article
  11. 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 at 3 institutions in 1 country.

Xiao-Xuan YuDepartment of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China.ORCID https://orcid.org/0000-0002-6730-0935
Min-Qi LiaoDepartment of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China.ORCID https://orcid.org/0000-0003-4382-191X
Yu-Fei ZengDepartment of Obstetrics and Gynecology, Shangrao Fifth People's Hospital, Shangrao, Jiangxi 334000, China.
Xu-Ping GaoDepartment of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China.ORCID https://orcid.org/0000-0003-3813-2036
Yan-Hua LiuThe First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052 Henan, China.
Wei SunCustoms Comprehensive Laboratory, Baiyun International Airport Customs, Hengyi Road, Guangzhou, 510080 Guangdong, China.
Sui ZhuDepartment of Medical Statistics, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China.
Fang-Fang ZengDepartment of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China.ORCID https://orcid.org/0000-0001-8650-0927
Yan-Bin YeDepartment of Nutrition, The First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou, 510080 Guangdong, China.ORCID https://orcid.org/0000-0002-1325-1517
Jinan University · CNFirst Affiliated Hospital of Zhengzhou University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have examined the role of the KQT-like subfamily Q member1 (

objectiveTo examine the association between the

methodsFive electronic databases, such as PubMed and Embase, were searched thoroughly for relevant studies on the associations between seven most studied

results49 publications including 55 case-control studies (68,378 cases and 66,673 controls) were finally enrolled. In overall analyses, generally, increased T2DM risk was detected for rs2237892, rs2237895, rs2283228, rs151290, and rs2074196, but not for rs231362 under all genetic models. The ORs and 95% CIs for allelic comparison were 1.23 (1.14-1.33) for rs2237892, 1.21 (1.16-1.27) for rs2237895, 1.27 (1.11-1.46) for rs2237897, 1.25 (1.09-1.42) for rs2283228, 1.14 (1.03-1.27) for rs151290, 1.31 (1.23-1.39) for rs2074196, and 1.16 (0.83, 1.61) for rs231362. Stratified analyses showed that associations for rs2237892, rs2237895, rs2283228, and rs151290 were more evident among Asians than Caucasians. TSA demonstrated that the evidence was sufficient for all polymorphisms in this study. The genotypes of the three SNPs (rs2237892, rs2283228, and rs231362) were significantly correlated with altered KCNQ1 gene expression.

conclusionThis meta-analysis suggested that

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAllelesDiabetes Mellitus, Type 2Gene FrequencyGenetic Association StudiesGenotypeHumansKCNQ1 Potassium ChannelKCNQ1 Potassium Channel

Identifiers

PMID32695830
PMCPMC7362295
OpenAlexW3039165954

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.