Evidence map›Paper›PMID 39155680›Full record

ArticleJournal of diabetes2024

Association between serum β2-microglobulin and left ventricular hypertrophy in patients with type 2 diabetes mellitus: A cross-sectional study.

Yuling Zhang, Guiliang Peng, Weiling Leng, Ying Li, Haiyan Li, Ling Zhou, Lichao Ge, Jiaqing Shao, Xing Li, Min Long

Abstract read
In one paragraph

Article in Journal of diabetes, 2024. 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. Article
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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

10 authors.

Yuling ZhangDepartment of Endocrinology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Guiliang PengDepartment of Endocrinology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Weiling LengDepartment of Endocrinology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Ying LiCenter for Medical Big Data and Artificial Intelligence, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Haiyan LiDepartment of Ultrasonography, Chenjiaqiao Hospital, Chongqing, China.
Ling ZhouDepartment of Endocrinology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Lichao GeDepartment of Endocrinology, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Jiaqing ShaoDepartment of Endocrinology, Jinling Hospital, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-9739-5410
Xing LiDepartment of Endocrinology, Jinling Hospital, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-6469-4839
Min LongDepartment of Endocrinology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.ORCID https://orcid.org/0000-0003-1071-8131

Funding

Chongqing Young and Middle-aged High-end Talents ProjectNational Natural Science Foundation of China 81873648
6 · The paper itself

Abstract

backgroundBeta 2-microglobulin (β2-MG) is a component of the class I major histocompatibility complex (MHCI) and has recently been reported to be involved in type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, the association of β2-MG with left ventricular hypertrophy (LVH) in T2DM patients remains unknown. This study aims to investigate the correlation between serum β2-MG and LVH in T2DM patients.

methodsThe retrospective analysis included 4602 eligible T2DM patients, divided into LVH and non-LVH groups based on echocardiography results. Serum β2-MG levels were measured, and participants were categorized into four groups (Q1-Q4) by their serum β2-MG quartile. The relationship of serum β2-MG level with LVH was evaluated using logistic regression, restricted cubic spline (RCS), subgroup analysis, and machine learning.

resultsThe prevalence of LVH in T2DM patients was 31.12%. Each standard deviation increase in serum β2-MG level corresponded to a 1.17-fold increase in the prevalence of LVH [OR = 1.17, (95% CI: 1.05-1.31); p = 0.006]. When considering β2-MG as a categorical variable (quartile), Q3 [OR = 1.36, (95% CI: 1.09-1.69); p = 0.007] and Q4 [OR = 1.77, (95% CI: 1.36-2.31); p < 0.001] had a significantly higher prevalence of LVH than Q1. RCS analysis found a nonlinear association between β2-MG and LVH prevalence (p for nonlinearity <0.05). Additionally, machine learning results confirmed the importance of β2-MG for LVH in T2DM patients.

conclusionElevated serum β2-MG levels were likely to be associated with an increased prevalence of LVH in T2DM patients, suggesting its potential role in LVH development.

Indexed as

beta 2-MicroglobulinDiabetes Mellitus, Type 2Hypertrophy, Left VentricularAgedBiomarkersCross-Sectional StudiesEchocardiographyFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk Factorsbeta 2-MicroglobulinBiomarkersBeta 2‐microglobulinleft ventricular hypertrophytype 2 diabetes mellitus

Identifiers

PMID39155680
PMCPMC11331034

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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.