Evidence map›Paper›PMID 26198887›Full record

ReviewCurrent neurology and neuroscience reports2015

Application of "Omics" Technologies for Diagnosis and Pathogenesis of Neurological Infections.

Farshid Noorbakhsh, Atefeh Aminian, Christopher Power

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Farshid NoorbakhshDepartment of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran, f-noorbakhsh@sina.tums.ac.ir.
Atefeh Aminian
Christopher Power

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections of the human nervous system have substantial morbidity and mortality but also represent among the most challenging of all neurological diseases because of the difficulty in establishing a diagnosis and implementing effective therapies. Neurological infections lead to altered expression levels of a wide range of host- and pathogen-derived biomolecules both within and outside of the nervous system. Quantitative analyses of these biomolecular perturbations have been traditionally performed using "classical" molecular or analytical methods, which evaluate one or few genes or their products at a time. Recent technical developments together with the increasing availability of high-throughput/content methodologies have enabled a more comprehensive overview of these molecular alterations and thus provide new approaches to the diagnosis and/or treatment of this group of disorders. Herein, we will review recent evidence pointing to the capacity of the so-called omics techniques in studying the nervous system infections with an emphasis on genomics, transcriptomics, and proteomics technologies.

Indexed as

GenomicsAnimalsHost-Pathogen InteractionsHumansNervous System DiseasesTranscriptome

Identifiers

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.