Evidence map›Paper›PMID 32981005›Full record

ReviewJournal of thrombosis and thrombolysis2021

Coronavirus disease 2019 (COVID-19) in patients with systemic autoimmune diseases or vasculitis: radiologic presentation.

Azadeh Eslambolchi, Leila Aghaghazvini, Ali Gholamrezanezhad, Hoda Kavosi, Amir Reza Radmard

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of thrombosis and thrombolysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. ANCA-associated vasculitis after COVID-19.Rheumatology international · 2021
    Review
  12. Article
  13. A comprehensive review of imaging findings in COVID-19 - status in early 2021.European journal of nuclear medicine and molecular imaging · 2021
    Review
  14. Review
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 3 institutions in 2 countries.

Azadeh Eslambolchi *Independent Researcher, Seattle, USA.
Leila Aghaghazvini *Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences (TUMS), Jalal-e-Al-e-Ahmad Hwy, Tehran, Iran. aghaghazvini.leila@gmail.com.ORCID http://orcid.org/0000-0002-6565-3518
Ali GholamrezanezhadDepartment of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.
Hoda KavosiRheumatology Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Amir Reza RadmardDepartment of Radiology, Shariati Hospital, Tehran University of Medical Sciences (TUMS), Jalal-e-Al-e-Ahmad Hwy, Tehran, Iran.
Shariati Hospital · IRSeattle University · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has transformed into a worldwide challenge, since its outbreak in December 2019. Generally, patients with underlying medical conditions are at a higher risk of complications and fatality of pneumonias. Whether patients with systemic autoimmune diseases or vasculitides, are at increased risk for serious complications associated with COVID-19, is not established yet. Computed tomography (CT) has been employed as a diagnostic tool in the evaluation of patients with clinical suspicion of severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection with a reported sensitivity of higher than reverse transcription polymerase chain reaction (RT-PCR) test. Multifocal bilateral ground-glass opacities (GGOs) with peripheral and posterior distribution and subsequent superimposition of consolidations are considered the main imaging features of the disease in chest CT. However, chest CT images of underlying rheumatologic or autoimmune diseases or vasculitides, such as systemic sclerosis, systemic lupus erythematosus, rheumatoid arthritis, Behçet disease, and granulomatosis with polyangiitis, especially those with extensive lung involvement can overshadow or obliterate features of COVID-19. In addition, CT findings of such diseases may resemble manifestations of COVID-19 (such as ground glass opacities with or without superimposed consolidation), making the diagnosis of viral infections, more challenging on imaging. Comparing the imaging findings with prior studies (if available) for any interval change is the most helpful approach. Otherwise, the diagnosis of COVID-19 in such patients must be cautiously made according to the clinical context and laboratory results, considering a very high clinical index of suspicion on imaging.

Indexed as

SARS-CoV-2Tomography, X-Ray ComputedAutoimmune DiseasesCOVID-19FemaleHumansMaleVasculitisCOVID-19CT scanGranulomatosis polyangiitisPneumoniaVasculitis

Identifiers

PMID32981005
PMCPMC7519703
OpenAlexW3088991876

What OpenQuestion 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 OpenQuestion graph.