Evidence map›Paper›PMID 32654082›Full record

ReviewClinical rheumatology2020

Thrombosis in Coronavirus disease 2019 (COVID-19) through the prism of Virchow's triad.

Sakir Ahmed, Olena Zimba, Armen Yuri Gasparyan

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 3% 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

122 citing papers in PubMed, 3 syntheses or guidelines pooled it, 253 citations in OpenAlex.

  1. Pooled it
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  18. Prognostic markers in patients with COVID-19 requiring intensive care support.Journal of Taibah University Medical Sciences · 2023
    Article
  19. Review
  20. Blood ACE2 Protein Level Correlates with COVID-19 Severity.International journal of molecular sciences · 2023
    Article

62 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Sakir AhmedDepartment of Clinical Immunology and Rheumatology, Kalinga Institute of Medical Sciences (KIMS), KIIT University, Bhubaneswar, India.ORCID https://orcid.org/0000-0003-4631-311X
Olena ZimbaDepartment of Internal Medicine No. 2, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine.ORCID https://orcid.org/0000-0002-4188-8486
Armen Yuri GasparyanDepartments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK) Russells Hall Hospital, Pensnett Road, Dudley, West Midlands, DY1 2HQ, UK. a.gasparyan@gmail.com.ORCID http://orcid.org/0000-0001-8749-6018
Danylo Halytsky Lviv National Medical University · UAInstitute of Medical Sciences · INRussells Hall Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of Coronavirus disease 2019 (COVID-19) is gradually being comprehended. A high number of thrombotic episodes are reported, along with the mortality benefits of heparin. COVID-19 can be viewed as a prothrombotic disease. We overviewed the available evidence to explore this possibility. We identified various histopathology reports and clinical case series reporting thromboses in COVID-19. Also, multiple coagulation markers support this. COVID-19 can be regarded as a risk factor for thrombosis. Applying the principles of Virchow's triad, we described abnormalities in the vascular endothelium, altered blood flow, and platelet function abnormalities that lead to venous and arterial thromboses in COVID-19. Endothelial dysfunction, activation of the renin-angiotensin-aldosterone system (RAAS) with the release of procoagulant plasminogen activator inhibitor (PAI-1), and hyperimmune response with activated platelets seem to be significant contributors to thrombogenesis in COVID-19. Stratifying risk of COVID-19 thromboses should be based on age, presence of comorbidities, D-dimer, CT scoring, and various blood cell ratios. Isolated heparin therapy may not be sufficient to combat thrombosis in this disease. There is an urgent need to explore newer avenues like activated protein C, PAI-1 antagonists, and tissue plasminogen activators (tPA). These should be augmented with therapies targeting RAAS, antiplatelet drugs, repurposed antiinflammatory, and antirheumatic drugs. Key Points • Venous and arterial thromboses in COVID-19 can be viewed through the prism of Virchow's triad. • Endothelial dysfunction, platelet activation, hyperviscosity, and blood flow abnormalities due to hypoxia, immune reactions, and hypercoagulability lead to thrombogenesis in COVID-19. • There is an urgent need to stratify COVID-19 patients at risk for thrombosis using age, comorbidities, D-dimer, and CT scoring. • Patients with COVID-19 at high risk for thrombosis should be put on high dose heparin therapy.

Indexed as

Angiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAnticoagulantsBetacoronavirusBlood PlateletsBlood ViscosityCoronavirus InfectionsCOVID-19Endothelium, VascularFibrin Fibrinogen Degradation ProductsFibrinogenFibrinolytic AgentsHeparinHumansPandemicsACE2 protein, humanAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAnticoagulantsFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogenFibrinolytic AgentsHeparinPeptidyl-Dipeptidase APlasminogen Activator Inhibitor 1Platelet Aggregation InhibitorsTissue Plasminogen ActivatorAntiphospholipid antibodiesBlood flowComorbiditiesCOVID-19Cytokine stormEndothelial dysfunctionPlateletsPregnancyThrombosisVirchow’s triad

Identifiers

PMID32654082
PMCPMC7353835
OpenAlexW3041022255

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.