Evidence map›Paper›PMID 35647085›Full record

ArticleFrontiers in cardiovascular medicine2022

The Combination of Feature Tracking and Late Gadolinium Enhancement for Identification Between Hypertrophic Cardiomyopathy and Hypertensive Heart Disease.

Shengliang Liu, Yunling Li, Yanming Zhao, Xueying Wang, Zhiyuan Wu, Xia Gu, Bing Xu, Ye Li, Jinwei Tian, Jinjin Cui and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 4 institutions in 1 country.

Shengliang LiuDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yunling LiDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yanming ZhaoDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xueying WangDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhiyuan WuDepartment of Vascular Surgery, Beijing Hospital, National Center of Gerontology, Beijing, China.
Xia GuDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Bing XuDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ye LiDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jinwei TianDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jinjin CuiDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Guokun WangDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Bo YuDepartment of Cardiology, Cardiovascular Imaging Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Second Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CNBeijing Hospital · CNMinistry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The differentiation between hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) is challenging due to similar myocardial hypertrophic phenotype. The purpose of this study is to evaluate the feasibility of cardiovascular magnetic resonance feature tracking (CMR-FT) and late gadolinium enhancement (LGE) to distinguish between HCM and HHD and the potential relationship between myocardial strain and cardiac functional parameters. Methods: One hundred and seventy subjects (57 HCM, 45 HHD, and 68 controls) underwent 3.0 T CMR, including steady-state free precession cines and LGE images. Global and segmental (basal, mid, and apical) analyses of myocardial radial, circumferential, longitudinal strain, and left ventricular (LV) torsion, as well as global and 16 segments of LGE were assessed. The multivariate analysis was used to predict the diagnostic ability by combining comprehensive myocardial strain parameters and LGE. Results: Global radial strain (GRS), global circumferential strain (GCS), and LV torsion were significantly higher in the HCM group than in the HHD group (GRS, 21.18 ± 7.52 vs. 14.56 ± 7.46%; GCS, -13.34 ± 3.52 vs. -10.11 ± 4.13%; torsion, 1.79 ± 0.69 vs. 1.23 ± 0.65 deg/cm, all Conclusion: CMR-FT-derived myocardial strain and torsion provided valuable methods for evaluation of HCM and HHD. In addition, the combination of GRS and LGE (mIVS) achieved the highest diagnostic value.

Indexed as

cardiovascular resonance magneticfeature trackinghypertensive heart diseasehypertrophic cardiomyopathylate gadolinium enhancement

Identifiers

PMID35647085
PMCPMC9130652
OpenAlexW4280544880

What OpenQuestion holds

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LicenceCC BY
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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.