Evidence map›Paper›PMID 40050939›Full record

ArticleDiabetology & metabolic syndrome2025

Association between metabolic visceral fat score and left ventricular hypertrophy in individuals with type 2 diabetes.

Lu Wang, Simo Liu, Jing Ke, Bin Cao, Di Wang, Qianqian Zhao, Haolin Gong, Yuan Fang, Zhaohui Zheng, Caiguo Yu and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07204782 (Elevated Cardiovascular Risk Scores With Diabetes Mellitus Type 2 and Their Association With Non-Invasive Visceral Adiposity Indices), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07204782 not yet recruitingnot on this map

Elevated Cardiovascular Risk Scores With Diabetes Mellitus Type 2 and Their Association With Non-Invasive Visceral Adiposity Indices

TypeobservationalSponsorAssiut UniversityRan2025 to 2027Enrolled238ConditionsDiabete Mellitus
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Lu WangCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Simo LiuCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Jing KeCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Bin CaoCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Di WangBeijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China.
Qianqian ZhaoCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Haolin GongCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Yuan FangCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Zhaohui ZhengCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Caiguo YuCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Nannan WuCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Yan MaCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Ke YuCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
Longyan YangBeijing Key Laboratory of Diabetes Research and Care, Beijing, 101149, China.
Dong ZhaoCenter for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China. zhaodong@ccmu.edu.cn.

Funding

Beijing Tongzhou Science Foundation KJ2023CX020Capital Foundation of Medical Development 2023-2Y-015
6 · The paper itself

Abstract

backgroundLeft ventricular hypertrophy (LVH), a hallmark of early-stage heart failure (HF), is a common complication in individuals with type 2 diabetes mellitus (T2DM). Metabolic Visceral Fat Score (METS-VF), a novel metric for estimating visceral adiposity, may provide valuable insights into LVH risk. This study explores the association between METS-VF and LVH in T2DM and compare its predictive performance to traditional abdominal obesity indices.

methodsThis cross-sectional study included 4,988 adults with T2DM. Participants were stratified into quartiles based on METS-VF. Logistic regression models assessed the association between METS-VF and LVH. Restricted cubic spline analyses evaluated nonlinear relationships, while stratified analyses explored subgroups effects. Receiver operating characteristic (ROC) curves compared the predictive performance of METS-VF with other indices.

resultsLVH prevalence increased across METS-VF quartiles (Quartile 1: 7.9%; Quartile 2: 13.0%; Quartile 3: 20.0%; Quartile 4: 31.0%; P < 0.001). Higher METS-VF was independently associated with LVH (OR: 9.79; 95% CI: 6.16-15.76; P < 0.001). A nonlinear relationship was observed between METS-VF and LVH, with a steeper risk increase above specific thresholds. Stratified analyses showed that the positive association between METS-VF and LVH was consistent. METS-VF outperformed traditional indices in predicting LVH (AUC: 0.68; 95% CI: 0.66-0.70).

conclusionsMETS-VF is strongly associated with LVH in T2DM, demonstrating superior predictive performance compared to traditional indices. METS-VF is a practical, cost-effective tool for early cardiac risk stratification, facilitating timely interventions to mitigate HF risk in T2DM populations.

Indexed as

Heart failureLeft ventricular hypertrophyMetabolic visceral fat scoreType 2 diabetes mellitus

Identifiers

PMID40050939
PMCPMC11884144

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.