Evidence map›Paper›PMID 34894296›Full record

ArticleInsights into imaging2021

CMR Characteristics, gene variants and long-term outcome in patients with left ventricular non-compaction cardiomyopathy.

Di Zhou, Shijie Li, Arlene Sirajuddin, Weichun Wu, Jinghan Huang, Xiaoxin Sun, Shihua Zhao, Jielin Pu, Minjie Lu

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2021. 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
0.6field-weighted citation impact, top 28% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

9 authors at 3 institutions in 2 countries.

Di Zhou *Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 167 Beilishi Road, Beijing, 100037, People's Republic of China.
Shijie Li *Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Arlene SirajuddinNational Heart, Lung and Blood Institute (NHLBI), National, Institutes of Health (NIH), Bethesda, USA.
Weichun WuDepartment of Echocardiography, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China.
Jinghan HuangThe Heart-Lung Testing Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People's Republic of China.
Xiaoxin SunKey Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Shihua ZhaoDepartment of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 167 Beilishi Road, Beijing, 100037, People's Republic of China.
Jielin PuDepartment of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 167 Beilishi Road, Beijing, 100037, People's Republic of China. jielinpu@sina.cn.
Minjie LuDepartment of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 167 Beilishi Road, Beijing, 100037, People's Republic of China. coolkan@163.com.ORCID http://orcid.org/0000-0001-8696-318X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNNational Institutes of Health · US

Funding

Capital Clinically Characteristic Applied Research Fund Z191100006619021Clinical and Translational Fund of Chinese Academy of Medical Sciences 2019XK320063Construction Research Project of Key Laboratory (Cultivation) of Chinese Academy of Medical Sciences 2019PT310025National Natural Science Foundation of China 81971588
6 · The paper itself

Abstract

backgroundAs the paucity of data focusing on evaluating cardiac structure and function in patients with or without gene mutation, this study was sought to investigate the correlation between genotype and cardiac magnetic resonance (CMR) phenotype in patients with left ventricular non-compaction cardiomyopathy (LVNC) and to explore prognostic relevance in this cohort if possible.

methodsPatients with LVNC who underwent CMR and targeted gene sequencing between 2006 and 2016 were retrospectively evaluated. Demographic data, clinical presentation, genetic analysis, CMR data and follow-up data of all participants were collected.

resultsCompared to negative genotype (G-) group, patients with positive genotype (G+) had larger left atrial volume (LAV), and carriers of multiple variants had lower left ventricular (LV) ejection fraction and cardiac index, increased LV fibrosis, larger LA volume, reduced LV global circumferential strain, LA reservoir strain and booster pump strain (all p < 0.05). LA volume was able to discriminate patients with G + (all p < 0.05), as well as those with multiple genetic mutation (all p < 0.01). During a median follow-up of 5.1 years, Kaplan-Meier survival analysis revealed worse primary endpoint-free survival among carriers of multiple variants compared to G- group.

conclusionsCMR feature tracking is a remarkable tool to evaluate implication, genetics cascade screen and predict outcome in LVNC population. LA volume is a sensitive and robust indicator for genetic mutational condition, of which facilities to guide clinical management and intensity of follow-up for patients and their relatives.

Indexed as

Cardiac magnetic resonanceCardiomyopathyGeneticsLeft ventricular non-compaction

Identifiers

PMID34894296
PMCPMC8665949
OpenAlexW4200604369

What OpenQuestion holds

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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.