Evidence map›Paper›PMID 32272936›Full record

Observational studyJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2020

Multiparametric cardiovascular magnetic resonance characteristics and dynamic changes in myocardial and skeletal muscles in idiopathic inflammatory cardiomyopathy.

Yuanwei Xu, Jianhong Sun, Ke Wan, Liuyu Yu, Jie Wang, Weihao Li, Fuyuao Yang, Jiayu Sun, Wei Cheng, David Mui and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Cardiac Involvement in Idiopathic Inflammatory Myopathies.Journal of inflammation research · 2025
    Review
  6. Cardiac MRI in Rheumatic Disease.Rheumatic diseases clinics of North America · 2024
    Review
  7. Article
  8. Review
  9. The role of comprehensive stress cardiac MRI in autoimmune rheumatic disease: A review.International journal of cardiology. Heart & vasculature · 2024
    Review
  10. Reference ranges of myocardial T1 and T2 mapping in healthy Chinese adults: a multicenter 3T cardiovascular magnetic resonance study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. T2 mapping in myocardial disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  19. Article
  20. 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

13 authors at 4 institutions in 2 countries.

Yuanwei XuDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Jianhong SunDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Ke WanDepartment of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Liuyu YuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Wuhan province, China.
Jie WangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Weihao LiDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Fuyuao YangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Jiayu SunDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Wei ChengDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
David MuiDepartment of Medicine, Cardiovascular Division, University of Pennsylvania, Philadelphia, USA.
Qing ZhangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Qibing XieDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China. xieqibing1971@163.com.
Yucheng ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China. chenyucheng2003@126.com.
Sichuan University · CNWest China Hospital of Sichuan University · CNHuazhong University of Science and Technology · CNUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic inflammatory myopathy (IIM) manifest as systematic muscle involvement. Multiparametric cardiovascular magnetic resonance (CMR) could be a useful technique to detect systemic involvement and disease progression in IIM patients. This study aimed to describe the tissue characteristics and dynamic changes in myocardial and skeletal muscles after treatment in IIM patients.

methodsForty-four consecutively recruited IIM patients (49.0 ± 12.0 years; 22 males) underwent 3 T CMR at first diagnosis, and 28 patients underwent follow-up scan after receiving standard treatment for more than 1 year. Thirty age- and sex-matched healthy subjects served as controls. The CMR protocol included: cines, T2-weighted (T2w), late gadolinium enhancement (LGE), T1 and T2 mapping, and extracellular volume (ECV) evaluated for the myocardium, and T1 and T2 mapping and ECV evaluated for skeletal muscles. Correlations between laboratory biomarkers and myocardial and skeletal tissue characteristics were analyzed. Comparisons between baseline and follow-up scans were performed using paired t-tests.

resultsAt baseline, IIM patients showed significantly decreased hematocrit, higher left ventricular (LV) mass index, right ventricular (RV) volume index, myocardial and skeletal native T1, T2 mapping, and ECV than healthy controls. Significant correlations were found among myocardial native T1, T2 mapping, and ECV values and N-terminal pro b-type natriuretic peptide (NT-proBNP) levels, and significant correlations between skeletal T2 mapping and inflammatory biomarkers in IIM patients. During the follow-up, 28 patients underwent repeated CMR scan (median interval, 14.5 months, interquartile range: 13.2-15.5 months). Significant relief from clinical symptoms and decreased inflammatory biomarkers levels were observed. Significant reduction in myocardial native T1, T2, ECV, and skeletal native T1, T2, and ECV were observed during the follow-up assessment.

conclusionsBoth myocardial and skeletal muscles in newly diagnosed IIM patients show distinct characteristics on multiparametric CMR. In addition, significant changes were observed in patients showing clinical remission after effective treatment, which suggests that quantitative T1, T2, and ECV techniques may have potential clinical value in IIM patients.

Indexed as

Magnetic Resonance Imaging, CineAdultCardiomyopathiesCase-Control StudiesFemaleHumansMaleMiddle AgedMuscle, SkeletalMyocardiumMyositisPredictive Value of TestsProspective StudiesRemission InductionTime FactorsTreatment OutcomeCardiovascular magnetic resonanceExtracellular volumeIdiopathic inflammatory myopathiesNative T1 mappingSkeletal musclesT2 mapping

Identifiers

PMID32272936
PMCPMC7147024
OpenAlexW3015956056

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.