Evidence map›Paper›PMID 35395870›Full record

ArticleDiabetology & metabolic syndrome2022

Evaluation of right ventricular systolic and diastolic dysfunctions in patients with type 2 diabetes mellitus with poor glycemic control by layer specific global longitudinal strain and strain rate.

Jun Huang, Li Li, Li Fan, Dong-Liang Chen

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Association between subclinical right ventricular alterations and aerobic exercise capacity in type 2 diabetes.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  6. Review
  7. Article
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jun HuangDepartment of Echocardiography, the Affiliated Changzhou No.2 People's Hospital With Nanjing Medical University, Changzhou, 213003, China. 305669112@qq.com.
Li LiDepartment of Pediatrics, Changzhou Fourth People'S Hospital, Changzhou Tumor Hospital Affiliated to Soochow University, Changzhou, 213003, China.
Li FanDepartment of Echocardiography, the Affiliated Changzhou No.2 People's Hospital With Nanjing Medical University, Changzhou, 213003, China.
Dong-Liang ChenDepartment of Echocardiography, the Affiliated Changzhou No.2 People's Hospital With Nanjing Medical University, Changzhou, 213003, China.

Funding

Changzhou Science and Technique Program CJ20190098Talent Development Plan of Changzhou No.2 People's hospital YJRC202031Young Talent Development Plan of Changzhou Health Commission CZQM2020061
6 · The paper itself

Abstract

backgroundIn order to evaluate right ventricular (RV) systolic and diastolic dysfunctions in patients with type 2 diabetes mellitus (T2DM) with poor glycemic control by layer specific global longitudinal strain (GLS) and strain rate (GLSr).

methods68 T2DM patients and 66 normal controls were enrolled for the present study. RV layer specific GLS (GLSEpi, GLSMid and GLSEndo represent the epimyocardial, middle layer and endomyocardial strains, respectively) and GLSr (GLSr-S, GLSr-E and GLSr-A represent the systole, early-diastole and late-diastole strain rate) were calculated by averaging each of the three regional peak systolic strains and strain rates along the entire RV free-wall (RVFW), entire RV free-wall and septal wall (RVFSW) on RV-focused view.

resultsThe absolute values of RV layer specific GLS (GLSEpi, GLSMid and GLSEndo) in RVFW in T2DM patients were significantly lower than normal controls (P < 0.01), while GLSr-A was significantly larger than normal controls (P < 0.001). The absolute values of RV layer specific GLS (GLSEpi and GLSMid) in RVFSW in T2DM patients were significantly lower than normal controls (P < 0.05), while GLSr-A was significantly larger than normal controls (P < 0.001). HbA1c were poor negatived correlated with GLSEpi in RVFW and RVFSW in T2DM patients (P < 0.05). ROC analysis showed that RV layer specific GLS and GLSr-A had a high diagnostic efficacy in T2DM patients, and GLSr-A in RVFSW have the best diagnostic value in RV diastolic function in T2DM patients (AUC: 0.773).

conclusionFrom the research, we found that layer specific GLS and GLSr could detect the RV myocardial dysfunctions and confirmed that the impaired RV systolic and diastole functions in T2DM patients with poor glycemic control. GLSr-A in RVFSW had the best diagnostic value in evaluating RV diastolic function in T2DM patients.

Indexed as

DiastoleDysfunctionRight ventricleSystolicType 2 diabetes mellitus

Identifiers

PMID35395870
PMCPMC8994348

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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.