Evidence map›Paper›PMID 38270718›Full record

ArticleInsights into imaging2024

Myocardial involvement characteristics by cardiac MR imaging in neurological and non-neurological Wilson disease patients.

Wei Deng, Jie Zhang, Zhuoran Jia, Zixiang Pan, Zhen Wang, Huimin Xu, Liang Zhong, Yongqiang Yu, Ren Zhao, Xiaohu Li

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

10 authors at 3 institutions in 2 countries.

Wei Deng *Department of Radiology, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.
Jie Zhang *Department of Neurology, Institute of Neurology, Anhui University of Traditional Chinese Medicine, Hefei, China.
Zhuoran JiaDepartment of Cardiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.
Zixiang PanDepartment of Radiology, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.
Zhen WangDepartment of Radiology, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.
Huimin XuDepartment of Radiology, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China.
Liang ZhongDuke NUS Medical School, National Heart Centre Singapore, National University of Singapore, Singapore, Singapore.
Yongqiang YuDepartment of Radiology, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China. ayfyyuyongqiang@126.com.
Ren ZhaoDepartment of Cardiology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China. zhaoren@ahmu.edu.cn.
Xiaohu LiDepartment of Radiology, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, 230022, China. lixiaohu@ahmu.edu.cn.ORCID http://orcid.org/0000-0002-9084-1254
Anhui Medical University · CNAnhui University of Traditional Chinese Medicine · CNNational University of Singapore · SG

Funding

National Natural Science Foundation of China 81970446National Natural Science Foundation of China 82071897National Science Foundation for Distinguished Young Scholars of the Higher Education Institutions of Anhui Province, China 2022AH020071
6 · The paper itself

Abstract

objectivesTo explore the characteristics of myocardial involvement in Wilson Disease (WD) patients by cardiac magnetic resonance (CMR).

methodsWe prospectively included WD patients and age- and sex-matched healthy population. We applied CMR to analyze cardiac function, strain, T1 maps, T2 maps, extracellular volume fraction (ECV) maps, and LGE images. Subgroup analyzes were performed for patients with WD with predominantly neurologic manifestations (WD-neuro +) or only hepatic manifestations (WD-neuro -).

resultsForty-one WD patients (age 27.9 ± 8.0 years) and 40 healthy controls (age 25.4 ± 2.9 years) were included in this study. Compared to controls, the T1, T2, and ECV values were significantly increased in the WD group (T1 1085.1 ± 39.1 vs. 1046.5 ± 33.1 ms, T2 54.2 ± 3.3 ms vs. 51.5 ± 2.6 ms, ECV 31.8 ± 3.6% vs. 24.3 ± 3.7%) (all p < 0.001). LGE analysis revealed that LGE in WD patients was predominantly localized to the right ventricular insertion point and interventricular septum. Furthermore, the WD-neuro + group showed more severe myocardial damage compared to WD-neuro - group. The Unified Wilson Disease Rating Scale score was significantly correlated with ECV (Pearson's r = 0.64, p < 0.001).

conclusionsCMR could detect early myocardial involvement in WD patients without overt cardiac function dysfunction. Furthermore, characteristics of myocardial involvement were different between WD-neuro + and WD-neuro - , and myocardial involvement might be more severe in WD-neuro + patients. CRITICAL RELEVANCE STATEMENT: Cardiac magnetic resonance enables early detection of myocardial involvement in Wilson disease patients, contributing to the understanding of distinct myocardial characteristics in different subgroups and potentially aiding in the assessment of disease severity. KEY POINTS: • CMR detects WD myocardial involvement with increased T1, T2, ECV. • WD-neuro + patients show more severe myocardial damage and correlation with ECV. • Differences of myocardial characteristics exist between WD-neuro + and WD-neuro - patients.

Indexed as

Cardiac magnetic resonanceCopperMyocardial fibrosisWilson disease

Identifiers

PMID38270718
PMCPMC10810766
OpenAlexW4391226736

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.