Evidence map›Paper›PMID 33483864›Full record

ReviewMolecular biology reports2021

The cardiovascular disorders and prognostic cardiac biomarkers in COVID-19.

Xingjuan Shi, Mengying Chen, Yu Zhang

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
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

3 authors at 2 institutions in 2 countries.

Xingjuan ShiSchool of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210096, China. xingjuanshi@seu.edu.cn.ORCID http://orcid.org/0000-0002-6955-9836
Mengying ChenSchool of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210096, China.
Yu ZhangSchool of Life Science and Technology, Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, 210096, China.
Southeast University · CNSoutheast University · BD

Funding

National Natural Science Foundation of China 81770381
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) leads to the outbreak of coronavirus disease 2019 (COVID-19), a worldwide epidemic disease affecting increasing number of patients. Although the virus primarily targets respiratory system, cardiovascular involvement has been reported in accumulating studies. In this review, we first describe the cardiac disorders in human with various types of CoV infection, and in animals infected with coronavirus. Particularly, we will focus on the association of cardiovascular disorders upon SARS-CoV-2 infection, and prognostic cardiac biomarkers in COVID-19. Besides, we will discuss the possible mechanisms underlying cardiac injury resulted from SARS-CoV-2 infection including direct myocardial injury caused by viral infection, reduced level of ACE2, and inflammatory response during infection. Improved understandings of cardiac disorders associated with COVID-19 might predict clinical outcome and provide insights into more rational treatment responses in clinical practice.

Indexed as

Angiotensin-Converting Enzyme 2AnimalsBiomarkersCardiovascular DiseasesCoronavirus InfectionsCOVID-19Host-Pathogen InteractionsHumansPrognosisSARS-CoV-2ACE2 protein, humanAngiotensin-Converting Enzyme 2BiomarkersCardiovascular disordersCOVID-19Hs-cTnINT-proBNPPrognosis

Identifiers

PMID33483864
PMCPMC7822398
OpenAlexW3124861487

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.