ArticleGenes2019
Viral Metagenomics on Cerebrospinal Fluid.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed, 53 citations in OpenAlex.
- Article
- Sensitive, flexible, and affordable serum RNA sequencing for pathogen detection on the Oxford Nanopore platform.BMC genomics · 2026Article
- Unveiling pathogens and contaminants: refining metagenomics for clinical diagnostics.Frontiers in microbiology · 2026Article
- Viral Metagenomic Next-Generation Sequencing for One Health Discovery and Surveillance of (Re)Emerging Viruses: A Deep Review.International journal of molecular sciences · 2025Review
- Direct comparison of clear DX Nanopore and Illumina sequencing of SARS-CoV-2.Microbiology spectrum · 2025Article
- Characterization of the enteric virome of clinically healthy pigs around weaning on commercial farms in the Netherlands using next generation sequencing and qPCR.Porcine health management · 2025Article
- Application value of metagenomic next-generation sequencing based on protective bronchoalveolar lavage in nonresponding pneumonia.Microbiology spectrum · 2025Article
- Exploring the Spectrum of Microbiota in Central Nervous System Infections Through Metagenomic Next-Generation Sequencing.Infection and drug resistance · 2025Article
- The application value and limitations of metagenomic detection technology based on cerebrospinal fluid samples in suspected central nervous system infection: a retrospective study.Frontiers in microbiology · 2025Article
- Review
- Metagenomic Identification of Novel Eukaryotic Viruses with Small DNA Genomes in Pheasants.Animals : an open access journal from MDPI · 2024Article
- Focal lesions following intracerebral gene therapy for mucopolysaccharidosis IIIA.Annals of clinical and translational neurology · 2023Article
- Evaluation of extraction and enrichment methods for recovery of respiratory RNA viruses in a metagenomics approach.Journal of virological methods · 2023Article
- Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023Review
- Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses.Viruses · 2023Review
- Parasitic, bacterial, viral, immune-mediated, metabolic and nutritional factors associated with nodding syndrome.Brain communications · 2023Article
- Bacterial ribosomal RNA detection in cerebrospinal fluid using a viromics approach.Fluids and barriers of the CNS · 2022Article
- Comparison and development of a metagenomic next-generation sequencing protocol for combined detection of DNA and RNA pathogens in cerebrospinal fluid.BMC infectious diseases · 2022Article
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying the causative pathogen in central nervous system (CNS) infections is crucial for patient management and prognosis. Many viruses can cause CNS infections, yet screening for each individually is costly and time-consuming. Most metagenomic assays can theoretically detect all pathogens, but often fail to detect viruses because of their small genome and low viral load. Viral metagenomics overcomes this by enrichment of the viral genomic content in a sample. VIDISCA-NGS is one of the available workflows for viral metagenomics, which requires only a small input volume and allows multiplexing of multiple samples per run. The performance of VIDISCA-NGS was tested on 45 cerebrospinal fluid (CSF) samples from patients with suspected CNS infections in which a virus was identified and quantified by polymerase chain reaction. Eighteen were positive for an RNA virus, and 34 for a herpesvirus. VIDISCA-NGS detected all RNA viruses with a viral load >2 × 10
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What OpenQuestion holds
Registered trials
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.