Evidence map›Paper›PMID 34256241›Full record

SynthesisAdvances in medical sciences2021

Serum CK-MB, COVID-19 severity and mortality: An updated systematic review and meta-analysis with meta-regression.

Angelo Zinellu, Salvatore Sotgia, Alessandro G Fois, Arduino A Mangoni

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Advances in medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  18. COVID19 biomarkers: What did we learn from systematic reviews?Frontiers in cellular and infection microbiology · 2022
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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

4 authors.

Angelo ZinelluDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Salvatore SotgiaDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Alessandro G FoisDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Arduino A MangoniDiscipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Adelaide, Australia. Electronic address: arduino.mangoni@flinders.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe conducted a systematic review and meta-analysis with meta-regression of creatine kinase-MB (CK-MB), a biomarker of myocardial injury, in COVID-19 patients.

methodsWe searched PubMed, Web of Science and Scopus, for studies published between January 2020 and January 2021 that reported CK-MB, COVID-19 severity and mortality (PROSPERO registration number: CRD42021239657).

resultsFifty-five studies in 11,791 COVID-19 patients were included in the meta-analysis. The pooled results showed that CK-MB concentrations were significantly higher in patients with high disease severity or non-survivor status than patients with low severity or survivor status (standardized mean difference, SMD, 0.81, 95% CI 0.61 to 1.01, p<0.001). The rate of patients with CK-MB values above the normal range was also significantly higher in the former than the latter (60/350 vs 98/1,780; RR ​= ​2.84, 95%CI 1.89 to 4.27, p<0.001; I

conclusionsHigher CK-MB concentrations were significantly associated with severe disease and mortality in COVID-19 patients. This biomarker of myocardial injury might be useful for risk stratification in this group.

Indexed as

COVID-19MortalitySeverity of Illness IndexBiomarkersCreatine Kinase, MB FormHumansSARS-CoV-2BiomarkersCreatine Kinase, MB FormCOVID-19Creatine kinase-MBCreatine kinase-MB values Above the normal rangeDisease severityMortality

Identifiers

PMID34256241
PMCPMC8260505

What OpenQuestion holds

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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.