Evidence map›Paper›PMID 30373588›Full record

ArticleCardiovascular diabetology2018

Left ventricular subclinical myocardial dysfunction in uncomplicated type 2 diabetes mellitus is associated with impaired myocardial perfusion: a contrast-enhanced cardiovascular magnetic resonance study.

Xi Liu, Zhi-Gang Yang, Yue Gao, Lin-Jun Xie, Li Jiang, Bi-Yue Hu, Kai-Yue Diao, Ke Shi, Hua-Yan Xu, Meng-Ting Shen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Diabetic cardiomyopathy: pathophysiology, imaging assessment and therapeutical strategies.International journal of cardiology. Cardiovascular risk and prevention · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Epigenetics in diabetic cardiomyopathy.Clinical epigenetics · 2024
    Review
  20. Review
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

12 authors at 1 institution in 1 country.

Xi LiuDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Zhi-Gang YangDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Yue GaoDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Lin-Jun XieDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, National Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, 20# South Renmin Road, Chengdu, Sichuan, 610041, China.
Li JiangDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Bi-Yue HuDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Kai-Yue DiaoDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Ke ShiDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Hua-Yan XuDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Meng-Ting ShenDepartment of Radiology, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Yan RenDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37# Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
Ying-Kun GuoDepartment of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, National Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, 20# South Renmin Road, Chengdu, Sichuan, 610041, China. gykpanda@163.com.ORCID 0000-0001-8437-9887
Sichuan University · CN

Funding

National Natural Science Foundation of China 81471721National Natural Science Foundation of China 81471722National Natural Science Foundation of China 81641169National Natural Science Foundation of China 81771887National Natural Science Foundation of China 81771897Program for New Century Excellent Talents in University NCET-13-0386Program for Young Scholars and Innovative Research Team in Sichuan Province of China 2017TD0005
6 · The paper itself

Abstract

backgroundEarly detection of subclinical myocardial dysfunction in patients with diabetes mellitus (DM) is essential for recommending therapeutic interventions that can prevent or reverse heart failure, thereby improving the prognosis in such patients. This study aims to quantitatively evaluate left ventricular (LV) myocardial deformation and perfusion using cardiovascular magnetic resonance (CMR) imaging in patients with type 2 diabetes mellitus (T2DM), and to investigate the association between LV subclinical myocardial dysfunction and coronary microvascular perfusion.

methodsWe recruited 71 T2DM patients and 30 healthy individuals as controls who underwent CMR examination. The T2DM patients were subdivided into two groups, namely the newly diagnosed DM group (n = 31, patients with diabetes for ≤ 5 years) and longer-term DM group (n = 40, patients with diabetes > 5 years). LV deformation parameters, including global peak strain (PS), peak systolic strain rate, and peak diastolic strain rate (PSDR), and myocardial perfusion parameters such as upslope, time to maximum signal intensity (TTM), and max signal intensity (Max SI, were measured and compared among the three groups. Pearson's correlation was used to evaluate the correlation between LV deformation and perfusion parameters.

resultsPooled data from T2DM patients showed a decrease in global longitudinal, circumferential, and radial PDSR compared to healthy individuals, apart from lower upslope. In addition, increased TTM and reduced Max SI were found in the longer-term diabetics compared to the normal subjects (p < 0.017 for all). Multivariable linear regression analysis showed that T2DM was independently associated with statistically significant CMR parameters, except for TTM (β = 0.137, p = 0.195). Further, longitudinal PDSR was significantly associated with upslope (r = - 0.346, p = 0.003) and TTM (r = 0.515, p < 0.001).

conclusionsOur results imply that a contrast-enhanced 3.0T CMR can detect subclinical myocardial dysfunction and impaired myocardial microvascular perfusion in the early stages of T2DM, and that the myocardial dysfunction is associated with impaired coronary microvascular perfusion.

Indexed as

Coronary CirculationMagnetic Resonance ImagingVentricular Function, LeftAdultAsymptomatic DiseasesCase-Control StudiesContrast MediaDiabetes Mellitus, Type 2Diabetic CardiomyopathiesEarly DiagnosisFemaleHumansMaleMicrocirculationMiddle AgedMyocardial Perfusion ImagingContrast MediaCardiac magnetic resonanceMyocardial perfusionSubclinical myocardial dysfunctionType 2 diabetes mellitus

Identifiers

PMID30373588
PMCPMC6206833
OpenAlexW2899476866

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.