Evidence map›Paper›PMID 32539749›Full record

ArticleBMC cardiovascular disorders2020

Sensitive marker for evaluation of hypertensive heart disease: extracellular volume and myocardial strain.

Junqiao Niu, Mu Zeng, Yan Wang, Jun Liu, Hui Li, Shanshan Wang, Xiaoyue Zhou, Jia Wang, Yanyu Li, Feng Hou and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  14. Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT.International journal of chronic obstructive pulmonary disease · 2022
    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

11 authors at 4 institutions in 1 country.

Junqiao NiuRadiological imaging Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
Mu ZengDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yan WangRadiological imaging Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China. tudoudezhuren@163.com.ORCID 0000-0001-8041-5844
Jun LiuDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China. junliu123@csu.edu.cn.
Hui LiRadiological imaging Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
Shanshan WangRadiological imaging Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
Xiaoyue ZhouMR Collaboration, Siemens Healthineers Ltd, Shanghai, China.
Jia WangRadiological imaging Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, China.
Yanyu LiDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Feng HouDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Junwen ZhuCardiopulmonary function department, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
People's Hospital of Xinjiang Uygur Autonomous Region · CNCentral South University · CNSiemens (China) · CNXinjiang Medical University · CN

Funding

National Natural Science Foundation of China 81701660
6 · The paper itself

Abstract

backgroundEvaluation of tissue fibrosis and myocardial hypertrophy in left ventricular (LV) remodeling is the basis of post-treatment evaluation of hypertensive heart disease (HHD). Extracellular volume (ECV) and myocardial strain parameters can indirectly reflect the changes of both. Our objective was to analyze the characteristics of ECV and strain parameters in LV myocardium of HHD with varying degrees of systolic dysfunction, and to explore the changes of both after treatment for hypertension.

methodsA total of 62 HHD patients were divided into 3 groups according to ejection fraction (EF < 30, 30%≦EF < 50%, EF≧50%). Twenty-one of these patients underwent cardiac magnetic resonance (CMR) reexamination more than six months after receiving antihypertensive medication. The initial T1 time and post-enhancement T1 time of each segment were measured, and the ECV was calculated. Radial strain (RS), circumferential strain (CS) and longitudinal strain (LS) of LV were measured by cvi42 software, and the differences in CMR parameters between different groups and before and after treatment were compared.

results①The mean, basal and middle ECV value of HHD groups with different EF were all higher than that of the control group (P < 0.05), but the difference between HHD groups was not statistically significant. ②With the decrease of EF, the absolute value of both the global or local strain decreased. Strain is related to LVMI and ECV. ③In general, ECV, global RS (GRS) and global CS (GCS) improved after treatment, but the improvement of LS impairment in HHD patients is difficult.

conclusionsECV and myocardial strain parameters are more sensitive to myocardial abnormalities, and ECV, GRS and GCS are more sensitive to treatment. However it is difficult to improve longitudinal strain impairment in HHD patients. ECV and myocardial strain parameters can be used as good makers for long-term monitoring of the efficacy of HHD patients.

Indexed as

Blood PressureMagnetic Resonance Imaging, CineVentricular Function, LeftVentricular RemodelingAdultAntihypertensive AgentsFemaleFibrosisHumansHypertensionHypertrophy, Left VentricularMaleMiddle AgedMyocardiumPredictive Value of TestsSystoleAntihypertensive AgentsCMRECVHHDMyocardial strain

Identifiers

PMID32539749
PMCPMC7294608
OpenAlexW3034588443

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.