Evidence mapPaperPMID 34479603Full record

SynthesisJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

Prevalence of abnormal cardiovascular magnetic resonance findings in recovered patients from COVID-19: a systematic review and meta-analysis.

Jin Young Kim, Kyunghwa Han, Young Joo Suh

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Myocarditis in Athletes Recovering from COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Pediatric endocarditis - a stone left after the pandemic cascade.Frontiers in cellular and infection microbiology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. 2021-2022 state of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  13. Long COVID-19 Myocarditis and Various Heart Failure Presentations: A Case Series.Journal of cardiovascular development and disease · 2022
    Article
  14. Role of Endomyocardial Biopsy in Diagnostics of Myocarditis.Diagnostics (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Article
  17. Review
  18. Observational
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Jin Young KimDepartment of Radiology, Dongsan Hospital, Keimyung University College of Medicine, Daegu, Korea.ORCID 0000-0001-6714-8358
Kyunghwa HanDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.ORCID 0000-0002-5687-7237
Young Joo SuhDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea. rongzusuh@gmail.com.ORCID 0000-0002-2078-5832
Yonsei University · KRKeimyung University · KR

Funding

Keimyung University 20200204
6 · The paper itself

Abstract

backgroundThe prevalence of abnormal cardiovascular magnetic resonance (CMR) findings in recovered coronavirus disease 2019 (COVID-19) patients is unclear. This study aimed to investigate the prevalence of abnormal CMR findings in recovered COVID-19 patients.

methodsA systematic literature search was performed to identify studies that report the prevalence of abnormal CMR findings in recovered COVID-19 patients. The number of patients with abnormal CMR findings and diagnosis of myocarditis on CMR (based on the Lake Louise criteria) and each abnormal CMR parameter were extracted. Subgroup analyses were performed according to patient characteristics (athletes vs. non-athletes and normal vs. undetermined cardiac enzyme levels). The pooled prevalence and 95% confidence interval (CI) of each CMR finding were calculated. Study heterogeneity was assessed, and meta-regression analysis was performed to investigate factors associated with heterogeneity.

resultsIn total, 890 patients from 16 studies were included in the analysis. The pooled prevalence of one or more abnormal CMR findings in recovered COVID-19 patients was 46.4% (95% CI 43.2%-49.7%). The pooled prevalence of myocarditis and late gadolinium enhancement (LGE) was 14.0% (95% CI 11.6%-16.8%) and 20.5% (95% CI 17.7%-23.6%), respectively. Further, heterogeneity was observed (I

conclusionsNearly half of recovered COVID-19 patients exhibited one or more abnormal CMR findings. Athletes and patients with normal cardiac enzyme levels showed a lower prevalence of abnormal CMR findings than non-athletes and patients with undetermined cardiac enzyme levels. Trial registration The study protocol was registered in the PROSPERO database (registration number: CRD42020225234).

Indexed as

Cardiovascular DiseasesComorbidityCOVID-19Global HealthHumansMagnetic Resonance Imaging, CineMyocardiumPandemicsPredictive Value of TestsPrevalenceSARS-CoV-2Cardiac magnetic resonance imagingCoronavirus disease 2019Magnetic resonance imaging

Identifiers

PMID34479603
PMCPMC8414035
OpenAlexW3196406729

What Socratic 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 Socratic graph.