Evidence map›Paper›PMID 34712730›Full record

SynthesisBioMed research international2021

Ethnicity Differences in the Association of UCP1-3826A/G, UCP2-866G/A and Ala55Val, and UCP3-55C/T Polymorphisms with Type 2 Diabetes Mellitus Susceptibility: An Updated Meta-Analysis.

Rong Huang, Tingting Cai, Yunting Zhou, Yuming Wang, Huiying Wang, Ziyang Shen, Wenqing Xia, Xiaomei Liu, Bo Ding, Yong Luo and 4 more

Open access · hybridAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Diabetes Mellitus and Thyroid Cancers: Risky Correlation, Underlying Mechanisms and Clinical Prevention.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
  3. 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

14 authors at 1 institution in 1 country.

Rong HuangDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.ORCID https://orcid.org/0000-0002-0836-2845
Tingting CaiDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Yunting ZhouDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Yuming WangDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Huiying WangDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Ziyang ShenDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Wenqing XiaDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Xiaomei LiuDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Bo DingDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Yong LuoDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Rengna YanDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Huiqin LiDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.
Jindan WuDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.ORCID https://orcid.org/0000-0001-8814-5869
Jianhua MaDepartment of Endocrinology, Nanjing First Hospital, Nanjing Medical University, No. 32 Gongqingtuan Road, Nanjing 210012, China.ORCID https://orcid.org/0000-0001-9383-2559
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between uncoupling protein (UCP) 1-3 polymorphisms and susceptibility to type 2 diabetes mellitus (T2DM) has been extensively studied, while conclusions remain contradictory. Thus, we performed this meta-analysis to elucidate whether the UCP1-3826A/G, UCP2-866G/A, Ala55Val, and UCP3-55C/T polymorphisms are associated with T2DM.

methodsEligible studies were searched from PubMed, Cochrane Library, and Web of Science database before 12 July 2020. Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the strength of the association. Heterogeneity analysis, subgroup analysis, sensitivity analysis, and publication bias were also performed.

resultsA total of 38 case-control studies were included in this meta-analysis. The overall results revealed significant association between T2DM and the UCP2 Ala55Val polymorphism (recessive model: OR = 1.25, 95% CI 1.12-1.40,

conclusionsOur results demonstrate that the UCP2-866G/A polymorphism is protective against T2DM, while the UCP2 Ala55Val polymorphism is susceptible to T2DM in Asians.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseDiabetes Mellitus, Type 2HumansPolymorphism, Single NucleotidePublication BiasUncoupling Protein 1Uncoupling Protein 2Uncoupling Protein 3Uncoupling Protein 1Uncoupling Protein 2Uncoupling Protein 3

Identifiers

PMID34712730
PMCPMC8548105
OpenAlexW3209029057

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.