Evidence map›Paper›PMID 32763118›Full record

Observational studyJACC. Cardiovascular imaging2020

Cardiac Involvement in Patients Recovered From COVID-2019 Identified Using Magnetic Resonance Imaging.

Lu Huang, Peijun Zhao, Dazhong Tang, Tong Zhu, Rui Han, Chenao Zhan, Weiyong Liu, Hesong Zeng, Qian Tao, Liming Xia

2 registry-linked trialsOpen access · bronzeAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in JACC. Cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 367 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
367citing papers in PubMed, 8 pooled it
46.3field-weighted citation impact, top 1% 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.

NCT04794062 completednot on this map

Myocardial Injury and Quality of Life in Patients Recovered From the Pneumonia Associated With the Novel Coronavirus Infectious Disease COVID-19

TypeobservationalSponsorVoronezh Regional Clinical Consultative and Diagnostic CenterRan2020 to 2021Enrolled119ConditionsCOVID-19, Myocardial Injury, Myocarditis Post Infection
NCT05587868 unknown statusnot on this mapstarted 2022, after this paper: background citation

Karakteristik Dan Pengaruh Vaksinasi COVID-19 Terhadap Klinis Dan Kualitas Hidup Pasien Long COVID di RSUPN Dr. Cipto Mangunkusumo

TypeobservationalSponsorIndonesia UniversityRan2022 to 2023Enrolled250ConditionsCOVID-19, SARS CoV-2 InfectionArmsCOVID-19 Vaccine
3 · Its place in the literature

Who cites it

367 citing papers in PubMed, 8 syntheses or guidelines pooled it, 598 citations in OpenAlex.

  1. Pooled it
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  11. Five-year cardiovascular outcomes following COVID-19-associated carditis.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  12. Review
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  18. Cardiovascular Manifestations of Patients with Long COVID.Diagnostics (Basel, Switzerland) · 2025
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307 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Lu HuangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Peijun ZhaoDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dazhong TangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tong ZhuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Rui HanDepartment of Radiology, Wuhan No.1 Hospital, Wuhan, China.
Chenao ZhanDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Weiyong LiuDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hesong ZengDepartment of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: zenghs@tjh.tjmu.edu.cn.
Qian TaoDivision of Imaging Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: q.tao@lumc.nl.
Liming XiaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: lmxia@tjh.tjmu.edu.cn.
Tongji Hospital · CNLeiden University Medical Center · NLWuhan No.1 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study evaluated cardiac involvement in patients recovered from coronavirus disease-2019 (COVID-19) using cardiac magnetic resonance (CMR). Background: Myocardial injury caused by COVID-19 was previously reported in hospitalized patients. It is unknown if there is sustained cardiac involvement after patients' recovery from COVID-19. Methods: Twenty-six patients recovered from COVID-19 who reported cardiac symptoms and underwent CMR examinations were retrospectively included. CMR protocols consisted of conventional sequences (cine, T2-weighted imaging, and late gadolinium enhancement [LGE]) and quantitative mapping sequences (T1, T2, and extracellular volume [ECV] mapping). Edema ratio and LGE were assessed in post-COVID-19 patients. Cardiac function, native T1/T2, and ECV were quantitatively evaluated and compared with controls. Results: Fifteen patients (58%) had abnormal CMR findings on conventional CMR sequences: myocardial edema was found in 14 (54%) patients and LGE was found in 8 (31%) patients. Decreased right ventricle functional parameters including ejection fraction, cardiac index, and stroke volume/body surface area were found in patients with positive conventional CMR findings. Using quantitative mapping, global native T1, T2, and ECV were all found to be significantly elevated in patients with positive conventional CMR findings, compared with patients without positive findings and controls (median [interquartile range]: native T1 1,271 ms [1,243 to 1,298 ms] vs. 1,237 ms [1,216 to 1,262 ms] vs. 1,224 ms [1,217 to 1,245 ms]; mean ± SD: T2 42.7 ± 3.1 ms vs. 38.1 ms ± 2.4 vs. 39.1 ms ± 3.1; median [interquartile range]: 28.2% [24.8% to 36.2%] vs. 24.8% [23.1% to 25.4%] vs. 23.7% [22.2% to 25.2%]; p = 0.002; p < 0.001, and p = 0.002, respectively). Conclusions: Cardiac involvement was found in a proportion of patients recovered from COVID-19. CMR manifestation included myocardial edema, fibrosis, and impaired right ventricle function. Attention should be paid to the possible myocardial involvement in patients recovered from COVID-19 with cardiac symptoms.

Indexed as

Magnetic Resonance Imaging, CineAdultChinaCoronavirus InfectionsCOVID-19Edema, CardiacFemaleFibrosisHumansMaleMiddle AgedMyocardiumPandemicsPneumonia, ViralPredictive Value of TestsRemission InductionACE2, angiotensin-converting enzyme 2AHA, American Heart AssociationBSA, body surface areacardiac involvementcardiac magnetic resonance imagingCI, cardiac indexCMR, cardiac magnetic resonanceCO, cardiac outputcoronavirus disease-2019COVID-19, coronavirus disease-2019ECV, extracellular volumeEDV, end-diastolic volumeEF, ejection fractionER, edema ratioESV, end-systolic volumeFA, flip angleFOV, field of viewhs-cTnI, high-sensitive cardiac troponin IIQR, interquartile rangeLGE, late gadolinium enhancementLVEF, left ventricular ejection fractionLV, left ventriclePSIR, phase-sensitive inversion-recoveryRT-PCR, reverse transcription and polymerase chain reactionRVEF, right ventricular ejection fractionRV, right ventricleSARS-CoV-2, severe acute respiratory syndrome-coronavirus-2SI, signal intensitySSFP, steady state free precessionSTIR, short tau inversion recoverySV, stroke volumeT2WI, T2-weighted imagingTE, echo timeTR, repetition time

Identifiers

PMID32763118
PMCPMC7214335
OpenAlexW3025099228

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.