Evidence map›Paper›PMID 35294611›Full record

SynthesisHeart and vessels2022

Cardiac involvement in coronavirus disease 2019 assessed by cardiac magnetic resonance imaging: a meta-analysis.

Shingo Kato, Mai Azuma, Kazuki Fukui, Sho Kodama, Naoki Nakayama, Hideya Kitamura, Eri Hagiwara, Takashi Ogura, Nobuyuki Horita, Ho Namkoong and 3 more

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Heart and vessels, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Multimodality Cardiac Imaging in COVID-19 Infection.Medicina (Kaunas, Lithuania) · 2023
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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 1 country.

Shingo KatoDepartment of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan. sk513@yokohama-cu.ac.jp.ORCID http://orcid.org/0000-0002-7545-0669
Mai AzumaDepartment of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Kazuki FukuiDepartment of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Sho KodamaDepartment of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Naoki NakayamaDepartment of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Hideya KitamuraDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Eri HagiwaraDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Takashi OguraDepartment of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan.
Nobuyuki HoritaChemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Ho NamkoongDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
Kazuo KimuraDepartment of Cardiology, Yokohama City University Medical Center, Yokohama, Japan.
Kouichi TamuraDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Japan.
Daisuke UtsunomiyaDepartment of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kanagawa Cardiovascular and Respiratory Center · JPYokohama City University · JPKeio University · JPYokohama City University Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this systematic review and meta-analysis, we sought to evaluate the prevalence of cardiac involvement in patients with COVID-19 using cardiac magnetic resonance imaging. A literature review was performed to investigate the left ventricular (LV) and right ventricular (RV) ejection fraction (EF), the prevalence of LV late gadolinium enhancement (LGE), pericardial enhancement, abnormality on T1 mapping, and T2 mapping/T2-weighted imaging (T2WI), and myocarditis (defined by modified Lake Louis criteria). Pooled mean differences (MD) between COVID-19 patients and controls for LVEF and RVEF were estimated using random-effects models. We included data from 10.462 patients with COVID-19, comprising 1.010 non-athletes and 9.452 athletes from 29 eligible studies. The meta-analysis showed a significant difference between COVID-19 patients and controls in terms of LVEF [MD = - 2.84, 95% confidence interval (CI) - 5.11 to - 0.56, p < 0.001] and RVEF (MD = - 2.69%, 95% CI - 4.41 to - 1.27, p < 0.001). However, in athletes, no significant difference was identified in LVEF (MD = - 0.74%, 95% CI - 2.41 to - 0.93, p = 0.39) or RVEF (MD = - 1.88%, 95% CI - 5.21 to 1.46, p = 0.27). In non-athletes, the prevalence of LV LGE abnormalities, pericardial enhancement, T1 mapping, T2 mapping/T2WI, myocarditis were 27.5% (95%CI 17.4-37.6%), 11.9% (95%CI 4.1-19.6%), 39.5% (95%CI 16.2-62.8%), 38.1% (95%CI 19.0-57.1%) and 17.6% (95%CI 6.3-28.9%), respectively. In athletes, these values were 10.8% (95%CI 2.3-19.4%), 35.4% (95%CI - 3.2 to 73.9%), 5.7% (95%CI - 2.9 to 14.2%), 1.9% (95%CI 1.1-2.7%), 0.9% (0.3-1.6%), respectively. Both LVEF and RVEF were significantly impaired in COVID-19 patients compared to controls, but not in athletes. In addition, the prevalence of myocardial involvement is not negligible in patients with COVID-19.

Indexed as

COVID-19MyocarditisContrast MediaGadoliniumHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyPredictive Value of TestsStroke VolumeVentricular Function, LeftContrast MediaGadoliniumCardiac involvementCOVID-19Meta-analysis

Identifiers

PMID35294611
PMCPMC8925980
OpenAlexW4221065814

What OpenQuestion holds

Textmetadata
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.