Evidence map›Paper›PMID 35677326›Full record

ArticleFrontiers in neurology2022

Cerebral Microbleeds Assessment and Quantification in COVID-19 Patients With Neurological Manifestations.

Angela Napolitano, Alberto Arrigoni, Anna Caroli, Mariangela Cava, Andrea Remuzzi, Luca Giovanni Longhi, Antonino Barletta, Rosalia Zangari, Ferdinando Luca Lorini, Maria Sessa and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
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  7. Observational
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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

11 authors at 4 institutions in 1 country.

Angela NapolitanoDepartment of Neuroradiology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Alberto ArrigoniBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Anna CaroliBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Mariangela CavaRadiology Unit, S. Giacomo Hospital, Novi Ligure, Italy.
Andrea RemuzziDepartment of Management, Information and Production Engineering, University of Bergamo, Bergamo, Italy.
Luca Giovanni LonghiNeurosurgical Intensive Care Unit, Department of Anesthesia and Critical Care Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy.
Antonino BarlettaDepartment of Neuroradiology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Rosalia ZangariResearch Foundation, ASST Papa Giovanni XXIII, Bergamo, Italy.
Ferdinando Luca LoriniDepartment of Emergency and Critical Care Area, ASST Papa Giovanni XXIII, Bergamo, Italy.
Maria SessaDepartment of Neurology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Simonetta GereviniDepartment of Neuroradiology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Ospedale Papa Giovanni XXIII · ITMario Negri Institute for Pharmacological Research · ITOspedale San Giacomo Apostolo · ITUniversity of Bergamo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is increasingly acknowledged that Coronavirus Disease 2019 (COVID-19) can have neurological manifestations, and cerebral microbleeds (CMBs) have been observed in this setting. The aim of this study was to characterize CMBs patterns on susceptibility-weighted imaging (SWI) in hospitalized patients with COVID-19 with neurological manifestations. CMBs volume was quantified and correlated with clinical and laboratory parameters. The study included patients who were hospitalized due to COVID-19, exhibited neurological manifestations, and underwent a brain MRI between March and May 2020. Neurological, clinical, and biochemical variables were reported. The MRI was acquired using a 3T scanner, with a standardized protocol including SWI. Patients were divided based on radiological evidence of CMBs or their absence. The CMBs burden was also assessed with a semi-automatic SWI processing procedure specifically developed for the purpose of this study. Odds ratios (OR) for CMBs were calculated using age, sex, clinical, and laboratory data by logistic regression analysis. Of the 1,760 patients with COVID-19 admitted to the ASST Papa Giovanni XXIII Hospital between 1 March and 31 May 2020, 116 exhibited neurological symptoms requiring neuroimaging evaluation. Of these, 63 patients underwent brain MRI and were therefore included in the study. A total of 14 patients had radiological evidence of CMBs (CMBs+ group). CMBs+ patients had a higher prevalence of CSF inflammation (

Indexed as

cerebral microbleeds (CMBs)inflammationMRIneuro-COVIDsusceptibility-weighted imaging (SWI)

Identifiers

PMID35677326
PMCPMC9168977
OpenAlexW4281285871

What OpenQuestion holds

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LicenceCC BY
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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.