Evidence map›Paper›PMID 34602662›Full record

ArticleRadiologia brasileira

Computed tomography features of cerebrovascular complications in intensive care unit patients with severe COVID-19.

Vinícius de Padua Vieira Alves, Ananda Altoé, Vanessa Veloso, Clecia Lucia Santos Ferreira, Nina Ventura, Diogo Goulart Corrêa

Open access · diamondAbstract read
In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

6 authors at 2 institutions in 1 country.

Vinícius de Padua Vieira AlvesUniversidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0000-0001-8772-4770
Ananda AltoéInstituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-1381-0964
Vanessa VelosoUniversidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0000-0002-8652-5515
Clecia Lucia Santos FerreiraInstituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.ORCID 0000-0001-8549-4625
Nina VenturaInstituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-2364-1612
Diogo Goulart CorrêaUniversidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0000-0003-4902-0021
Instituto Estadual do Cérebro Paulo Niemeyer · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo report the computed tomography (CT) features of acute cerebrovascular complications in severely ill patients with confirmed coronavirus disease 2019 (COVID-19) in the intensive care unit. MATERIALS AND

methodsWe conducted a retrospective analysis of 29 intensive care unit patients with confirmed COVID-19 who underwent CT of the brain. We describe the CT features of the cerebrovascular complications of COVID-19, as well the demographic characteristics and clinical features, together with the results of laboratory tests, such as complete blood cell count, coagulation testing, renal function testing, and C-reactive protein assay.

resultsTwo patients were excluded because of brain death. Among the remaining 27 patients, CT revealed acute cerebrovascular complications in six (three men and three women; 49-81 years of age), whereas no such complications were seen in 21 (15 men and six women; 36-82 years of age).

conclusionRadiologists should be aware of the risks of cerebrovascular complications of COVID-19 and the potential underlying etiologies. COVID-19-associated coagulopathy is likely multifactorial and may increase the risk of ischemic and hemorrhagic infarction.

Indexed as

Blood coagulation disordersCerebrovascular disordersCoronavirus infections/complicationsTomography, X-ray computed

Identifiers

PMID34602662
PMCPMC8475166
OpenAlexW3198536593

What OpenQuestion holds

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LicenceCC BY
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.