Evidence map›Paper›PMID 39205221›Full record

ArticleViruses2024

Challenges in the Diagnosis of SARS-CoV-2 Infection in the Nervous System.

Samya Jezine Da Silva, Mauro Jorge Cabral-Castro, Cássia Cristina Alves Gonçalves, Diana Mariani, Orlando Ferreira, Amílcar Tanuri, Marzia Puccioni-Sohler

Abstract read
In one paragraph

Article in Viruses, 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. 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

7 authors.

Samya Jezine Da SilvaPrograma de Pós-Graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.ORCID 0000-0003-1978-0548
Mauro Jorge Cabral-CastroDepartamento de Patologia, Faculdade de Medicina, Universidade Federal Fluminense, Niterói 24220-900, Brazil.ORCID 0000-0002-1755-999X
Cássia Cristina Alves GonçalvesLaboratório de Virologia Molecular, Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.
Diana MarianiLaboratório de Virologia Molecular, Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.ORCID 0000-0003-1382-9988
Orlando FerreiraLaboratório de Virologia Molecular, Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.
Amílcar TanuriLaboratório de Virologia Molecular, Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.ORCID 0000-0003-0570-750X
Marzia Puccioni-SohlerPrograma de Pós-Graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.ORCID 0000-0001-6007-9142

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.496497/2020-00Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.330.2016
6 · The paper itself

Abstract

Neurological involvement has been widely reported in SARS-CoV-2 infection. However, viral identification in the cerebrospinal fluid (CSF) is rarely found. The aim of this study is to evaluate the accuracy of virological and immunological biomarkers in CSF for the diagnosis of neuroCOVID-19. We analyzed 69 CSF samples from patients with neurological manifestations: 14 with suspected/confirmed COVID-19, with 5 additional serial CSF samples (group A), and as a control, 50 non-COVID-19 cases (group B-26 with other neuroinflammatory diseases; group C-24 with non-inflammatory diseases). Real-time reverse-transcription polymerase chain reaction (real-time RT-PCR) was used to determine SARS-CoV-2, and specific IgG, IgM, neopterin, and protein 10 induced by gamma interferon (CXCL-10) were evaluated in the CSF samples. No samples were amplified for SARS-CoV-2 by real-time RT-PCR. The sensitivity levels of anti-SARS-CoV-2 IgG and IgM were 50% and 14.28%, respectively, with 100% specificity for both tests. CXCL-10 showed high sensitivity (95.83%) and specificity (95.83%) for detection of neuroinflammation. Serial CSF analysis showed an association between the neuroinflammatory biomarkers and outcome (death and hospital discharge) in two cases (meningoencephalitis and rhombencephalitis). The detection of SARS-CoV-2 RNA and specific immunoglobulins in the CSF can be used for neuroCOVID-19 confirmation. Additionally, CXCL-10 in the CSF may contribute to the diagnosis and monitoring of neuroCOVID-19.

Indexed as

Antibodies, ViralBiomarkersChemokine CXCL10COVID-19Immunoglobulin GImmunoglobulin MSARS-CoV-2AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeopterinNervous System DiseasesAntibodies, ViralBiomarkersChemokine CXCL10CXCL10 protein, humanImmunoglobulin GImmunoglobulin MNeopterinaccuracyanti-SARS-CoV-2 immunoglobulinscerebrospinal fluidinflammatory biomarkersmolecular biomarkersneuroCOVID-19neuroinflammationviral infections

Identifiers

PMID39205221
PMCPMC11359543

What OpenQuestion holds

Textmetadata
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.