Evidence map›Paper›PMID 41133440›Full record

ArticleDiabetes & vascular disease research

Visceral adipose tissue accumulation and risk of organ complications among individuals with type 2 diabetes mellitus: A two-sample Mendelian randomization study.

Xingji Lian, Xiaomin Zeng, Bing Zhang, Yan Huang, Xiaohui Peng, Yanhui Wang, Chongzhe Yang, Yuyu Huang

Abstract read
In one paragraph

Article in Diabetes & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xingji LianDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaomin ZengDepartment of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Bing ZhangDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yan HuangDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaohui PengDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yanhui WangDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Chongzhe YangDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yuyu HuangDepartment of Geriatrics, National Key Clinic Specialty, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.ORCID 0009-0007-8255-5059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral adiposity is a pivotal pathogenic driver of type 2 diabetes mellitus (T2DM) and its vascular complications. We performed two-sample Mendelian randomization (MR) analyses to examine the causal relationships between visceral adipose tissue (VAT) accumulation and diabetes complications. Single nucleotide polymorphisms (SNPs) specific to VAT accumulation were identified through large-scale genome-wide association studies (GWAS) at genome-wide significance (

Indexed as

AdiposityDiabetes Mellitus, Type 2Intra-Abdominal FatPolymorphism, Single NucleotideGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisPhenotypeRisk AssessmentRisk Factorsdiabetes complicationsmendelian randomizationtype 2 diabetes mellitusvascular complicationsvisceral adipose tissue

Identifiers

PMID41133440
PMCPMC12569360

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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.