Evidence map›Paper›PMID 37535100›Full record

SynthesisJournal of neurology2023

Brain MRI findings in neurologically symptomatic COVID-19 patients: a systematic review and meta-analysis.

Amir Masoud Afsahi, Alexander M Norbash, Shahla F Syed, Maya Sedaghat, Ghazaleh Afsahi, Ramin Shahidi, Zohreh Tajabadi, Mahsa Bagherzadeh-Fard, Shaghayegh Karami, Pourya Yarahmadi and 10 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

20 authors at 13 institutions in 3 countries.

Amir Masoud AfsahiDepartment of Radiology, University of California, San Diego, CA, USA. amir.masoud.afsahi@gmail.com.ORCID http://orcid.org/0000-0002-8906-7767
Alexander M NorbashDepartment of Radiology, University of California, San Diego, CA, USA.
Shahla F SyedDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Maya SedaghatDepartment for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Ghazaleh AfsahiDepartment of Biotechnology Research, Blue California Ingredients, Rancho Santa Margarita, CA, USA.
Ramin ShahidiSchool of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
Zohreh TajabadiDigestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mahsa Bagherzadeh-FardQom University of Medical Sciences, Qom, Iran.
Shaghayegh KaramiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Pourya YarahmadiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Shabnam ShirdelDepartment of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
Ali AsgarzadehStudents Research Committee, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Mansoureh BaradaranDepartment of Radiology, Imam Ali Hospital, North Khorasan University of Medical Science, Bojnurd, Iran.
Fattaneh KhalajDigestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza SadeghsalehiDepartment of Artificial Intelligence in Medical Sciences, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Maryam FotouhiQuantitative MR Imaging and Spectroscopy Group (QMISG), Research Centre for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Mohammad Amin HabibiQom University of Medical Sciences, Qom, Iran.
Hyungseok JangDepartment of Radiology, University of California, San Diego, CA, USA.
Abass AlaviDepartment of Diagnostic Radiology and Nuclear Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sam SedaghatDepartment of Radiology, University of California, San Diego, CA, USA.
Tehran University of Medical Sciences · IRQom University of Medical Science and Health Services · IRUniversity of California San Diego · USArdabil University of Medical Sciences · IRBushehr University of Medical Sciences · IRCornell University · USHeidelberg University · DEIran University of Medical Sciences · IRNorth Khorasan University of Medical Sciences · IRUniversity Hospital Schleswig-Holstein · DEUniversity of California System · USUniversity of Pennsylvania · USUniversity of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) has been associated with nervous system involvement, with more than one-third of COVID-19 patients experiencing neurological manifestations. Utilizing a systematic review, this study aims to summarize brain MRI findings in COVID-19 patients presenting with neurological symptoms.

methodsSystematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) checklist. The electronic databases of PubMed/MEDLINE, Embase, Scopus, and Web of Science were systematically searched for literature addressing brain MRI findings in COVID-19 patients with neurological symptoms.

results25 publications containing a total number of 3118 COVID-19 patients with neurological symptoms who underwent MRI were included. The most common MRI findings and the respective pooled incidences in decreasing order were acute/subacute infarct (22%), olfactory bulb abnormalities (22%), white matter abnormalities (20%), cerebral microbleeds (17%), grey matter abnormalities (12%), leptomeningeal enhancement (10%), ADEM (Acute Disseminated Encephalomyelitis) or ADEM-like lesions (10%), non-traumatic ICH (10%), cranial neuropathy (8%), cortical gray matter signal changes compatible with encephalitis (8%), basal ganglia abnormalities (5%), PRES (Posterior Reversible Encephalopathy Syndrome) (3%), hypoxic-ischemic lesions (4%), venous thrombosis (2%), and cytotoxic lesions of the corpus callosum (2%).

conclusionThe present study revealed that a considerable proportion of patients with COVID-19 might harbor neurological abnormalities detectable by MRI. Among various findings, the most common MRI alterations are acute/subacute infarction, olfactory bulb abnormalities, white matter abnormalities, and cerebral microbleeds.

Indexed as

BrainCOVID-19Magnetic Resonance ImagingNervous System DiseasesHumansCOVID-19Magnetic resonance imagingMRINeuroimagingSARS-CoV-2

Identifiers

PMID37535100
OpenAlexW4385514225

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.