Evidence map›Paper›PMID 42872004›Full record

ReviewMedical journal of the Islamic Republic of Iran2026

Coagulation Disorders and Thrombotic Events in Patients with COVID-19: A Narrative Review.

Mahdi Khatuni, Behnaz Varaminian, Maryamolsadat Ghoreyshi, Marziyeh Ghalamkari

Abstract readReview
In one paragraph

Review in Medical journal of the Islamic Republic of Iran, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mahdi KhatuniDepartment of Internal Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Behnaz VaraminianDepartment of Internal Medicine, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
Maryamolsadat GhoreyshiDepartment of Internal Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Marziyeh GhalamkariDepartment of Internal Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-7987-463X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This review explores the coagulation disorders and thrombotic events observed in COVID-19 patients, highlighting the underlying pathophysiological mechanisms and current management strategies. Pathophysiology and clinical impact: Important mechanisms contributing to thrombosis include cytokine storm-induced thrombosis, antiphospholipid antibody syndrome, macrophage activation syndrome, complement cascade activation, and renin-angiotensin system dysregulation. Thrombotic complications significantly impact mortality and morbidity, with pulmonary emboli frequently observed in autopsy studies. Notably, this prothrombotic state may persist for weeks post-hospitalization. Management: Effective management of COVID-19-associated coagulopathy requires prompt treatment of underlying infections and comprehensive assessment of co-infections in critically ill patients. While heparin and its derivatives remain the cornerstone for managing venous thromboembolism, their efficacy for COVID-19-associated coagulopathy remains to be a subject of investigation. Conclusion: Understanding the complex interplay between inflammation and thrombosis in COVID-19 is crucial for developing targeted therapeutic strategies that address coagulation disorders and the underlying infection.

Indexed as

AnticoagulationCoagulopathyCOVID-19D-dimerImmunothrombosisThrombosis

Identifiers

PMID42872004
PMCPMC13659701

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.