Evidence map›Paper›PMID 35831174›Full record

ArticleESC heart failure2022

Echocardiographic phenotypes of Chinese patients with type 2 diabetes may indicate early diabetic myocardial disease.

Zheng Wang, ChenChen Wang, ZuoLing Xie, Xi Huang, HaiYan ShangGuan, WenWen Zhu, ShaoHua Wang

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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  3. 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

7 authors at 2 institutions in 2 countries.

Zheng WangDepartment of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, China.
ChenChen WangDepartment of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, China.
ZuoLing XieDepartment of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, China.
Xi HuangDepartment of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, China.
HaiYan ShangGuanSchool of Medicine, Southeast University, Nanjing, China.
WenWen ZhuSchool of Medicine, Southeast University, Nanjing, China.
ShaoHua WangDepartment of Endocrinology, The Affiliated ZhongDa Hospital of Southeast University, Nanjing, China.ORCID 0000-0001-9567-6668
Southeast University · BDZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimType 2 diabetes may impair cardiac structure and function at very early stage, other factors, for example, obesity and hypertension, can induce aforementioned abnormalities individually. This study aimed to explore precise prevention and treatment of diabetic cardiomyopathy (DCM) by using cluster analysis of echocardiographic variables. METHODS AND

resultsA total of 66 536 inpatients with diabetes from 2013 to 2018 were investigated, and 7112 patients were available for analysis after nadir. The cluster analysis was performed on echocardiographic variables to assess the clinical profiles and risk factors of clusters. Two clusters were identified. Cluster 1 with 3576 patients (50.3%, including 62.5% female) had hypertension in 62.4%, while the lower rate of obesity (13.7%). Ultrasound findings showed that 79.9% of them had left ventricular diastolic dysfunction (LVDD), the most characteristic change in the early stages of DCM. Systolic blood pressure (SBP), uric acid and antithrombin III were independent risk factors for LVDD (P < 0.0001); 64.0% of the 3536 patients in the second group were male, with a high prevalence of obesity (30.1%) and a higher prevalence of hypertension (79.5%), In particular, decreased systolic function and a high rate of LV hypertrophy (46.8%) represented the progressive phase of DCM (P < 0.0001). SBP, diastolic blood pressure, BMI and creatinine were independent correlates of LV mass index (P < 0.05).

conclusionThe cluster analysis of echocardiographic variables may improve the identification of groups of patients with similar risks and different disease courses and will facilitate the achievement of targeted early prevention and treatment of DCM.

Indexed as

Diabetes Mellitus, Type 2Diabetic CardiomyopathiesHypertensionVentricular Dysfunction, LeftChinaEchocardiographyFemaleHumansMaleObesityPhenotypeCluster analysisDiabetic cardiomyopathyRisk factorsT2DM

Identifiers

PMID35831174
PMCPMC9715868
OpenAlexW4285392052

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.