Evidence map›Paper›PMID 39076313›Full record

ArticleReviews in cardiovascular medicine2024

Positive Correlation between BMI and Left Ventricle and Atrium Inside Diameter Size in Chinese Type 2 Diabetes Patients with Left Ventricular and Atrial Enlargement.

Jie Zhang, Zhenhua Yang, Xiaoxiang Fan, Qiuping Fei, Yingfei Xi

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jie ZhangDepartment of Endocrinology, Ningbo No.2 Hospital, 315000 Ningbo, Zhejiang, China.
Zhenhua YangDepartment of Endocrinology, Ningbo No.2 Hospital, 315000 Ningbo, Zhejiang, China.
Xiaoxiang FanDepartment of Endocrinology, Ningbo No.2 Hospital, 315000 Ningbo, Zhejiang, China.
Qiuping FeiDepartment of Endocrinology, Ningbo No.2 Hospital, 315000 Ningbo, Zhejiang, China.
Yingfei XiDepartment of Endocrinology, Ningbo No.2 Hospital, 315000 Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with type 2 diabetes mellitus (T2DM) commonly exhibit overlooked left ventricular and atrial hypertrophy. This research identifies potential risk factors and intervention targets. Methods: T2DM patients with normal ejection fraction values were enrolled, while we eliminated influences on heart size, such as hypertension and coronary heart disease. Variables for each participant, including height, weight, age, body mass index (BMI), and blood biochemistry, were recorded before patients were categorized into four groups based on heart size. Multiple linear regression and Pearson's correlation analyses were applied to investigate the possible correlations. Results: Three years of clinical data were collected for each T2DM patient, while patients with incomplete data or interference factors affecting heart size were excluded. BMI, adjusted fasting blood glucose (FBG), glomerular filtration rate (eGFR), and age all showed a significant positive correlation with the inner diameter of the left ventricle and atrium in groups exhibiting hypertrophy. Conclusions: In T2DM patients, BMI correlated positively with left ventricular enlargement, suggesting its potential role as a risk factor. Weight control may be an effective intervention for left ventricular enlargement, to reduce the likelihood of heart failure.

Indexed as

body mass indexheart failureleft atrial enlargementleft ventricular enlargementtype 2 diabetes

Identifiers

PMID39076313
PMCPMC11270061

What Socratic holds

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Registered trials

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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 Socratic graph.