Evidence map›Paper›PMID 34405950›Full record

SynthesisImmunity, inflammation and disease2021

Cardiac biomarkers, cardiac injury, and comorbidities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.

Zhengchuan Zhu, Miaoran Wang, Wei Lin, Qiaoyan Cai, Ling Zhang, Daxin Chen, Fei Liu, Xiaoman Xiong, Jianfeng Chu, Jun Peng and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Immunity, inflammation and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  18. COVID-19 and the cardiovascular system: an update.The American journal of the medical sciences · 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

11 authors at 3 institutions in 1 country.

Zhengchuan ZhuPeking University Traditional Chinese Medicine Clinical Medical School (Xiyuan), Beijing, China.
Miaoran WangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Wei LinAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Qiaoyan CaiAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Ling ZhangAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Daxin ChenAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Fei LiuAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Xiaoman XiongAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Jianfeng ChuAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.ORCID 0000-0003-2608-7346
Jun PengAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Keji ChenPeking University Traditional Chinese Medicine Clinical Medical School (Xiyuan), Beijing, China.
Fujian University of Traditional Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CN

Funding

National Natural Science Foundation of China of China 81232884National Natural Science Foundation of China of China 81774135Natural Science Foundations of Fujian Province 2018J01884Science and Technology Major Project of Fujian Province 2019YZ014004The Fujian Provincial Health and Family Planning Commission 2018-CX-42
6 · The paper itself

Abstract

aimsTo explore the correlation between cardiac-related comorbidities, cardiac biomarkers, acute myocardial injury, and severity level, outcomes in COVID-19 patients.

methodPubmed, Web of Science, Embase, CNKI, VIP, Wanfang, Cochrane Library databases, medRxiv, and Sinomed were reviewed systemically. Various types of clinical research reporting cardiac-related comorbidities, cardiac biomarkers including lactate dehydrogenase (LDH), troponin I (TnI), high sensitivity troponin I (hs-TnI), creatine kinase (CK), creatine kinase-MB (CK-MB), myoglobin (Myo), N-terminal pro-b-type natriuretic peptide (NT-proBNP) and acute cardiac injury grouped by severity of COVID-19 were included. Outcome measures were events and total sample size for comorbidities, acute cardiac injury, and laboratory parameters of these biomarkers. The study was performed with Stata version 15.1.

resultsSeventy studies, with a total of 15,354 cases were identified. The results showed that COVID-19's severity was related to cardiovascular disease. Similar odds ratios (ORs) were achieved in hypertension except for severe versus critical group (OR = 1.406; 95% CI, 0.942-2.097; p = .095). The relative risk (RR) of acute cardiac injury is 7.01 (95% CI, 5.64-8.71) in non-survivor cases. When compared with the different severity of cardiac biomarkers, the pool OR of CK, CK-MB, TnI, Myo and LDH were 2.683 (95% CI, 0.83-8.671; p = .106; I

conclusionMost of the findings clearly indicate that hypertension, cardiovascular disease, acute cardiac injury, and related laboratory indicators are associated with the severity of COVID-19. What is now needed are cross-national prospectively designed observational or clinical trials that will help improve the certainty of the available evidence and treatment decisions for patients.

Indexed as

COVID-19BiomarkersCreatine Kinase, MB FormHumansSARS-CoV-2Troponin IBiomarkersCreatine Kinase, MB FormTroponin Iacute myocardial injurycardiac biomarkerscomorbiditiesCOVID-19meta-analysisSARS-CoV-2

Identifiers

PMID34405950
PMCPMC8427124
OpenAlexW3194708404

What OpenQuestion 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 OpenQuestion graph.