Evidence map›Paper›PMID 38594610›Full record

ArticleBMC cardiovascular disorders2024

Focal ischemic myocardial fibrosis assessed by late gadolinium enhancement cardiovascular magnetic resonance in patients with hypertrophic cardiomyopathy.

Yang Zhi, Fu-Dan Gui, Meng Xue, Yi-Tian Long, Wen Miao, You Yi, Liang-Chao Gao, Fu Bing, Shu-Yue Pan

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Reduction in myofilament CaFrontiers in physiology · 2025
    Article
  3. [Clincial Research Progress in Using Magnetic Resonance Imaging to Assess Myocardial Fibrosis in Hypertrophic Cardiomyopathy].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
  4. 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

9 authors at 1 institution in 1 country.

Yang Zhi *Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
Fu-Dan Gui *Department of Cardiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
Meng XueDepartment of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
Yi-Tian LongDepartment of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
Wen MiaoDepartment of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
You YiDepartment of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China.
Liang-Chao GaoDepartment of Rheumatology and Immunology, Chengdu Fifth People's Hospital, Chengdu, China.
Fu Bing *Department of Radiology, Chengdu Fifth People's Hospital, 33# Ma Shi Street, Chengdu, 611130, China. fubing73@qq.com.
Shu-Yue Pan *Department of Rheumatology and Immunology, Chengdu Fifth People's Hospital, Chengdu, China. panshuyue2018057@163.com.
Chengdu Fifth People's Hospital · CN

Funding

Scientific Research Project of Sichuan Health Committee 20PJ216The Program for Technological Innovation R&D Project in Chengdu 2019-YF05-00111-SN
6 · The paper itself

Abstract

backgroundIn patients with hypertrophic cardiomyopathy (HCM), ischemic myocardial fibrosis assessed by late gadolinium enhancement (I-LGE) using cardiovascular magnetic resonance (CMR) have been reported. However, the clinical significance of I-LGE has not been completely understood. We aim to evaluate the I-LGE differ phenotypically from HCM without LGE or nonischemic myocardial fibrosis assessed by late gadolinium enhancement (NI-LGE) in the left ventricle (LV).

methodsThe patients with HCM whom was underwent CMR were enrolled, using cine cardiac magnetic resonance to evaluate LV function and LGE to detect the myocardial fibrosis. Three groups were assorted: 1) HCM without LGE; 2) HCM with LGE involved the subendocardial layer was defined as I-LGE; 3) HCM with LGE not involved the subendocardial layer was defined as NI-LGE.

resultsWe enrolled 122 patients with HCM in the present study. LGE was detected in 58 of 122 (48%) patients with HCM, and 22 (18%) of patients reported I-LGE. HCM with I-LGE had increased higher left ventricular mass index (LVMI) (P < 0.0001) than HCM with NI-LGE or without LGE. In addition, HCM with I-LGE had a larger LV end- systolic volume (P = 0.045), lower LV ejection fraction (LVEF) (P = 0.026), higher LV myocardial mass (P < 0.001) and thicker LV wall (P < 0.001) more than HCM without LGE alone. The I-LGE were significantly associated with LVEF (OR: 0.961; P = 0.016), LV mass (OR: 1.028; P < 0.001), and maximal end-diastolic LVWT (OR: 1.567; P < 0.001). On multivariate analysis, LVEF (OR: 0.948; P = 0.013) and maximal end-diastolic LVWT (OR: 1.548; P = 0.001) were associated with higher risk for I-LGE compared to HCM without LGE. Noticeably, the maximal end-diastolic LVWT (OR: 1.316; P = 0.011) was the only associated with NI-LGE compared to HCM without LGE.

conclusionsI-LGE is not uncommon in patients with HCM. HCM with I-LGE was associated with significant LV hypertrophy, extensive LGE and poor LV ejection fraction. We should consider focal ischemic myocardial fibrosis when applying LGE to risk stratification for HCM.

Indexed as

Cardiomyopathy, HypertrophicContrast MediaFibrosisGadoliniumHumansMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyMyocardiumContrast MediaGadoliniumCardiac magnetic resonance imagingFibrosisHypertrophic cardiomyopathyLate gadolinium enhancement

Identifiers

PMID38594610
PMCPMC11003119
OpenAlexW4394617496

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.