Evidence map›Paper›PMID 32735131›Full record

ReviewClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

COVID-19-Associated Coagulopathy: An Exacerbated Immunothrombosis Response.

Apoorva Jayarangaiah, Pramod Theetha Kariyanna, Xiaoyi Chen, Amog Jayarangaiah, Abhishek Kumar

Open access · goldAbstract readReview
In one paragraph

Review in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 6% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. The Use of Therapeutic-Dose Anticoagulation and Its Effect on Mortality in Patients With COVID-19: A Systematic Review.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Thromboinflammatory complications ofFrontiers in immunology · 2025
    Review
  7. Article
  8. Review
  9. Coagulopathy during COVID-19 infection: a brief review.Clinical and experimental medicine · 2023
    Review
  10. Carotid free-floating thrombus in COVID-19: a cerebrovascular disorder of cytokine storm-related immunothrombosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. COVID-19 and the heart.World journal of clinical cases · 2022
    Review
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Apoorva JayarangaiahDepartment of Hematology and Oncology, Jacobi Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.ORCID https://orcid.org/0000-0002-9692-7841
Pramod Theetha KariyannaDepartment of Cardiovascular Disease, State University of New York (SUNY), Downstate, NY, USA.
Xiaoyi ChenDepartment of Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.
Amog JayarangaiahTrinity School of Medicine, Ratho Mill, St. Vincent, the Grenadines, WI, USA.
Abhishek KumarDepartment of Hematology and Oncology, Jacobi Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.ORCID https://orcid.org/0000-0001-9617-3579
Jacobi Medical Center · USState University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the onset of the global pandemic in early 2020, coronavirus disease 2019 (COVID-19) has posed a multitude of challenges to health care systems worldwide. In order to combat these challenges and devise appropriate therapeutic strategies, it becomes of paramount importance to elucidate the pathophysiology of this illness. Coronavirus disease 2019, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), is characterized by a dysregulated immune system and hypercoagulability. COVID-associated coagulopathy (CAC) was recognized based on profound d-dimer elevations and evidence of microthrombi and macrothrombi, both in venous and arterial systems. The underlying mechanisms associated with CAC have been suggested, but not clearly defined. The model of immunothrombosis illustrates the elaborate crosstalk between the innate immune system and coagulation. The rendering of a procoagulant state in COVID-19 involves the interplay of many innate immune pathways. The SARS-CoV2 virus can directly infect immune and endothelial cells, leading to endothelial injury and dysregulation of the immune system. Activated leukocytes potentiate a procoagulant state via release of intravascular tissue factor, platelet activation, NETosis, and inhibition of anticoagulant mechanisms. Additional pathways of specific relevance in CAC include cytokine release and complement activation. All these mechanisms have recently been reported in COVID-19. Immunothrombosis provides a comprehensive perspective of the several synergistic pathways pertinent to the pathogenesis of CAC.

Indexed as

BetacoronavirusBlood Coagulation DisordersCoronavirus InfectionsCOVID-19Endothelial CellsHumansImmunity, InnateLeukocytesPandemicsPneumonia, ViralSARS-CoV-2ThrombophiliaThrombosiscoagulopathyCOVID-19immunothrombosis

Identifiers

PMID32735131
PMCPMC7401047
OpenAlexW3046833502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.