Evidence map›Paper›PMID 33134952›Full record

ArticleCritical care explorations2020

Spectrum of Vascular Involvement in Coronavirus Disease 2019 Pneumonia-Findings on CT Perfusion.

Jan H von der Thüsen, Elyas Ghariq, Maria J Overbeek, Eliane Leyten, Tessa Drijkoningen, Hester A Gietema, Mathias Prokop, Henriette M E Quarles van Ufford

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

8 authors at 4 institutions in 1 country.

Jan H von der ThüsenDepartment of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands.
Elyas GhariqDepartment of Radiology, Haaglanden Medisch Centrum, The Hague, The Netherlands.
Maria J OverbeekDepartment of Pulmonology, Haaglanden Medisch Centrum, The Hague, The Netherlands.
Eliane LeytenDepartment of Internal Medicine, Haaglanden Medisch Centrum, The Hague, The Netherlands.
Tessa DrijkoningenDepartment of Radiology, Haaglanden Medisch Centrum, The Hague, The Netherlands.
Hester A GietemaDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
Mathias ProkopDepartment of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Henriette M E Quarles van UffordDepartment of Radiology, Haaglanden Medisch Centrum, The Hague, The Netherlands.
Medisch Centrum Haaglanden · NLErasmus MC · NLMaastricht University · NLRadboud University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere is accumulating evidence of a distinct coagulopathy in severe acute respiratory syndrome coronavirus 2 infection which is associated with poor prognosis in coronavirus disease 2019. Coagulation abnormalities in blood samples resemble systemic coagulopathies in other severe infections but demonstrate specific features such as a very high d-dimer. These clinical observations are consistent with histopathologic findings of locally disturbed pulmonary microvascular thrombosis and angiopathy in end-stage coronavirus disease 2019. However, exact underlying processes and the sequence of events are not fully understood. DATA SOURCES: CT perfusion may provide insight in the dynamic aspect of the vascularity in pulmonary lesions in coronavirus disease 2019 infection as, in contrast to dual energy CT, a multiphase perfusion pattern is displayed. STUDY SELECTION: In six patients with coronavirus disease 2019 pneumonia, findings on additional CT perfusion series were correlated with known histopathologic vascular patterns upon pulmonary autopsy of patients who had died of coronavirus disease 2019. DATA EXTRACTION: In this case series, we were able to show perfusion changes on CT scans in typical pulmonary lesions illustrating diverse patterns. DATA SYNTHESIS: We demonstrated hyperperfusion in areas with ground glass and a severely decreased perfusion pattern in more consolidated areas often seen later in the course of disease. A combination was also observed, illustrating temporal heterogeneity.

conclusionsThese findings provide new insights into the pathophysiology of coronavirus disease 2019 pneumonia and further understanding of the mechanisms that lead to respiratory failure in these patients.

Indexed as

coronavirus disease 2019CT perfusionhyperperfusionpneumoniathrombosis

Identifiers

PMID33134952
PMCPMC7587417
OpenAlexW3093971582

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.