Evidence map›Paper›PMID 34678120›Full record

ReviewInternational reviews of immunology2022

Exploring the pathways of inflammation and coagulopathy in COVID-19: A narrative tour into a viral rabbit hole.

Nitsan Landau, Yehuda Shoenfeld, Liat Negru, Gad Segal

Open access · bronzeAbstract readReview
In one paragraph

Review in International reviews of immunology, 2022. 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 26% 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.

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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 at 2 institutions in 2 countries.

Nitsan LandauInternal Medicine "I," Chaim Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
Yehuda ShoenfeldThe Zabludowicz Research Center for Autoimmune Diseases, Chaim Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
Liat NegruInternal Medicine "I," Chaim Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
Gad SegalInternal Medicine "I," Chaim Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.ORCID 0000-0002-3851-3245
Sheba Medical Center · ILSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide COVID-19 pandemic has taken a huge toll of morbidity and mortality. In selected patients, classified as severe, the overwhelming inflammatory state imposed by this infection is accompanied by a hypercoagulable state, hallmarked by a unique pattern; a marked increase in D-dimer, out of proportion to other markers of coagulopathy. In this review, we turn a spotlight to this phenomenon, offering a unified conceptual model depicting the leading hypotheses of coagulopathy in COVID-19. The key players of the coagulation cascades accompanying the COVID-19 inflammation malfunction on virtually every level; tissue factor expression is amplified, physiological anti-coagulant pathways (anti-thrombin, protein C and S, and the inhibitor of the tissue factor pathway) are impaired and fibrinolysis is inhibited. Components of autoimmunity, the complement system amongst others, further contribute to the pathology. As data continue to gather, our model offers a pathophysiological overview of COVID-19 coagulopathy, defined by the resultant histopathology: either intra-vascular or extra-vascular. We hope this review will facilitate understanding and serve as a lead point to future therapeutic directives.

Indexed as

COVID-19Blood CoagulationHumansInflammationPandemicsThromboplastinThromboplastinCoagulationCOVID-19D-dimerfibrin depositioninflammationmicrovascular thrombosis

Identifiers

PMID34678120
PMCPMC8544671
OpenAlexW3207217154

What Socratic 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 Socratic graph.