ReviewAnnals of hematology2024
Coagulation and Inflammation in COVID-19: Reciprocal Relationship between Inflammatory and Coagulation Markers.
Review in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Venous Thromboembolism in Severe Community-Acquired Pneumonia at High-Altitude Areas: Prevalence, Risk and Outcome.The clinical respiratory journal · 2026Article
- Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity.Molecular medicine (Cambridge, Mass.) · 2026Article
- Computational modeling of pro-inflammatory cytokine-enhanced blood coagulation.bioRxiv : the preprint server for biology · 2026Article
- Immunomodulatory properties of umbilical cord mesenchymal stromal cells in immune disorders: immunoregulatory functions, therapeutic progress, and engineering strategies for enhanced efficacy.Frontiers in immunology · 2026Review
- Computational Modeling of Pro-inflammatory Cytokine-Enhanced Blood Coagulation.Computational and structural biotechnology journal · 2026Article
- Immune-endothelial-coagulation crosstalk as a driver of multi-organ dysfunction in severe viral pneumonia.Frontiers in immunology · 2026Review
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- Deep vein thrombosis in severe community-acquired pneumonia patients undergoing thromboprophylaxis: Prevalence, risk factors, and outcome.Thrombosis journal · 2025Article
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- Erbin Regulates Tissue Factors Through Ras/Raf Pathway in Coagulation Disorders in Sepsis.Journal of inflammation research · 2025Article
- Superficial Vein Thrombosis in an Asymptomatic Case of Cholangiocarcinoma with Recent History of COVID-19.Life (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), formerly known as 2019-nCoV. Numerous cellular and biochemical issues arise after COVID-19 infection. The severe inflammation that is caused by a number of cytokines appears to be one of the key hallmarks of COVID-19. Additionally, people with severe COVID-19 have coagulopathy and fulminant thrombotic events. We briefly reviewed the COVID-19 disease at the beginning of this paper. The inflammation and coagulation markers and their alterations in COVID-19 illness are briefly discussed in the parts that follow. Next, we talked about NETosis, which is a crucial relationship between coagulation and inflammation. In the end, we mentioned the two-way relationship between inflammation and coagulation, as well as the factors involved in it. We suggest that inflammation and coagulation are integrated systems in COVID-19 that act on each other in such a way that not only inflammation can activate coagulation but also coagulation can activate inflammation.
Indexed as
Identifiers
38349409What OpenQuestion holds
Registered trials
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.