Evidence map›Paper›PMID 34082189›Full record

SynthesisThe American journal of emergency medicine2021

Cardiac markers of multisystem inflammatory syndrome in children (MIS-C) in COVID-19 patients: A meta-analysis.

Yan Zhao, Jenil Patel, Ying Huang, Lijuan Yin, Lei Tang

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
10.5field-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.

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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Yan ZhaoDepartment of Pediatrics, People's Hospital of Chongqing Banan District, Chongqing 401320, China. Electronic address: zhaoyanwow@126.com.
Jenil PatelDepartment of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, USA.
Ying HuangDepartment of Respiratory Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China.
Lijuan YinDepartment of Respiratory Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China. Electronic address: yudishengyin4356@sina.com.
Lei TangDepartment of Pediatrics, People's Hospital of Chongqing Banan District, Chongqing 401320, China. Electronic address: tangleicqums@163.com.
First People's Hospital of Chongqing · CNChildren's Hospital of Chongqing Medical University · CNChina International Science and Technology Cooperation · CNUniversity of Texas Health Science Center at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA meta-analysis of laboratory cardiac markers for multisystem inflammatory syndrome in children (MIS-C) was performed in patients with coronavirus disease 2019 (COVID-19).

methodsEight databases were searched until April 10, 2021, for studies on cardiac markers, including B-type natriuretic peptide (BNP)/N-terminal pro-BNP (NT-proBNP), troponin, aspartate aminotransferase (AST), in MIS-C patients.

resultsOf the 2583 participants enrolled in 24 studies, 1613 patients were diagnosed with MIS-C. MIS-C patients exhibited higher BNP levels than patients with non-severe COVID-19 [SMD (95% CI): 1.13 (0.48, 1.77), p < 0.05]. No significant differences in BNP levels were observed between patients with MIS-C and severe COVID-19 [SMD (95% CI): 0.29 (-0.07, 0.65), p = 0.117]. Comparisons of MIS-C patients to all COVID-19 patients revealed no significant differences in levels of troponin [SMD (95% CI): 0.13 (-0.07, 0.32), p = 0.212] or AST [SMD (95% CI): 0.10 (-0.11, 0.31), p = 0.336]. Compared to patients with non-severe MIS-C, those with severe MIS-C exhibited higher levels of BNP [SMD (95% CI): 0.26 (0.04, 0.48), p < 0.05], but no differences in troponin [SMD (95% CI): 0.05 (-0.06, 0.16) p = 0.387] or AST [SMD (95% CI): 0.19 (-0.34, 0.71), p = 0.483] were observed. Moreover, there was no significant difference in BNP [SMD (95% CI): -0.21 (-1.07, 0.64), p = 0.624] or troponin [SMD (95% CI): -0.07 (-0.45, 0.31), p = 0.710] between MIS-C with and without coronary artery abnormality. Sensitivity analyses were performed to assess stability. No publication bias was detected based on Begg's test.

conclusionsThe key cardiac marker that showed differences between patients with MIS-C/non-severe COVID-19 and between patients with severe/non-severe MIS-C was BNP. Other markers, such as troponin and AST, did not exhibit notable differences in indicating cardiac injury between patients with MIS-C and COVID-19.

Indexed as

AdolescentAspartate AminotransferasesBiomarkersChildChild, PreschoolCOVID-19HumansInfantInfant, NewbornNatriuretic Peptide, BrainPeptide FragmentsSARS-CoV-2Systemic Inflammatory Response SyndromeTroponinAspartate AminotransferasesBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)TroponinBNPChildrenCOVID-19Meta-analysisPMIS/PIMS-TS/MIS-CTroponin

Identifiers

PMID34082189
PMCPMC8129790
OpenAlexW3163155320

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.