Evidence map›Paper›PMID 38887702›Full record

ArticleBrain communications2024

COVID-19-associated cerebral microbleeds in the general population.

Malini V Sagar, Neus R Ferrer, Mostafa Mehdipour Ghazi, Kiril V Klein, Espen Jimenez-Solem, Mads Nielsen, Christina Kruuse

Abstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Malini V SagarDepartment of Neurology, Copenhagen University Hospital-Herlev and Gentofte, Herlev 2730, Denmark.
Neus R FerrerDepartment of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.
Mostafa Mehdipour GhaziDepartment of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.
Kiril V KleinDepartment of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.
Espen Jimenez-SolemDepartment of Clinical Pharmacology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen 2400, Denmark.
Mads NielsenDepartment of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.
Christina KruuseDepartment of Neurology, Copenhagen University Hospital-Herlev and Gentofte, Herlev 2730, Denmark.ORCID https://orcid.org/0000-0002-4210-0523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral microbleeds are frequent incidental findings on brain MRI and have previously been shown to occur in Coronavirus Disease 2019 (COVID-19) cohorts of critically ill patients. We aimed to determine the risk of having microbleeds on medically indicated brain MRI and compare non-hospitalized COVID-19-infected patients with non-infected controls. In this retrospective case-control study, we included patients over 18 years of age, having an MRI with a susceptibility-weighted sequence, between 1 January 2019 and 1 July 2021. Cases were identified based on a positive reverse transcriptase polymerase chain reaction test for SARS-CoV-2 and matched with three non-exposed controls, based on age, sex, body mass index and comorbidities. The number of cerebral microbleeds on each scan was determined using artificial intelligence. We included 73 cases and 219 matched non-exposed controls. COVID-19 was associated with significantly greater odds of having cerebral microbleeds on MRI [odds ratio 2.66 (1.23-5.76, 95% confidence interval)], increasingly so when patients with dementia and hospitalized patients were excluded. Our findings indicate that cerebral microbleeds may be associated with COVID-19 infections. This finding may add to the pathophysiological considerations of cerebral microbleeds and help explain cases of incidental cerebral microbleeds in patients with previous COVID-19.

Indexed as

cerebral microhaemorrhagecoronavirusmatched controlsneuroimagingpandemic

Identifiers

PMID38887702
PMCPMC11181935

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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.