Evidence map›Paper›PMID 34977253›Full record

SynthesisJournal of diabetes research2021

Association of CDKAL1 RS10946398 Gene Polymorphism with Susceptibility to Diabetes Mellitus Type 2: A Meta-Analysis.

Ning Xu, Ting-Ting Zhang, Wen-Jia Han, Li-Ping Yin, Nan-Zheng Ma, Xiu-Yan Shi, Jiang-Jie Sun

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. World journal of diabetes · 2024
    Article
  4. 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

7 authors.

Ning XuSchool of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China.
Ting-Ting ZhangSchool of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, China.
Wen-Jia HanSchool of Dentistry, Anhui Medical University, Hefei, Anhui 230032, China.
Li-Ping YinMedical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Nan-Zheng MaAnhui Medical University, Affiliated Hospital, Nationalities, Hefei, Anhui 230032, China.
Xiu-Yan ShiNanjing Prevention and Treatment Center for Occupational Diseases, Nanjing 23100, China.ORCID https://orcid.org/0000-0001-8548-0688
Jiang-Jie SunHealth Management College, Anhui Medical University, Hefei, Anhui 230032, China.ORCID https://orcid.org/0000-0002-8185-0802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is one of the common chronic diseases in which susceptibility is determined by a combination of genetic and environmental factors, and more than 90% of diabetic patients are diabetes mellitus type 2 (T2DM). The existing studies on the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes are inconsistent across populations.

aimWe aim to explore the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes in different populations.

methodsWe examined all studies before June 12, 2021, that associated CDKAL1 rs10946398 with T2DM. Heterogeneity was assessed by meta-analysis of allelic inheritance models (A vs. C), dominant inheritance models (AA vs. AC+CC), and recessive inheritance model (AA+AC vs. CC);

resultsFourteen data totaling 30288 subjects, including 19272 controls and 11016 patients with T2DM, met our inclusion criteria. In the Asian population, the differences were statistically significant (

conclusionIn this study, CDKAL1 RS10946398 was positively associated with T2DM, but the association was different in Asian populations.

Indexed as

Polymorphism, Single NucleotideAdultAgedCase-Control StudiesDiabetes Mellitus, Type 2FemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypePrognosisRisk AssessmentRisk FactorstRNA MethyltransferasesCDKAL1 protein, humantRNA Methyltransferases

Identifiers

PMID34977253
PMCPMC8719992

What Socratic 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 Socratic graph.