Evidence map›Paper›PMID 29348591›Full record

ArticleScientific reports2018

Relapsing-Remitting Multiple Sclerosis diagnosis from cerebrospinal fluids via Fourier transform infrared spectroscopy coupled with multivariate analysis.

Dilek Yonar, Levent Ocek, Bedile Irem Tiftikcioglu, Yasar Zorlu, Feride Severcan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 80 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Dilek YonarDepartment of Biological Sciences, Middle East Technical University, 06800, Ankara, Turkey.
Levent OcekIzmir Tepecik Education and Research Hospital, Neurology Clinic, 35180, Izmir, Turkey.
Bedile Irem TiftikciogluIzmir Tepecik Education and Research Hospital, Neurology Clinic, 35180, Izmir, Turkey.
Yasar ZorluIzmir Tepecik Education and Research Hospital, Neurology Clinic, 35180, Izmir, Turkey.
Feride SevercanDepartment of Biological Sciences, Middle East Technical University, 06800, Ankara, Turkey. feride@metu.edu.tr.
Izmir Tepecik Eğitim ve Araştırma Hastanesi · TRAltınbaş University · TRMiddle East Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic, progressive, inflammatory and degenerative disease of central nervous system. Here, we aimed to develop a method for differential diagnosis of Relapsing-Remitting MS (RRMS) and clinically isolated syndrome (CIS) patients, as well as to identify CIS patients who will progress to RRMS, from cerebrospinal fluid (CSF) by infrared (IR) spectroscopy and multivariate analysis. Spectral analyses demonstrated significant differences in the molecular contents, especially in the lipids and Z conformation of DNA of CSF from CIS, CIS to RRMS transformed (TCIS) and RRMS groups. These changes enables the discrimination of diseased groups and controls (individuals with no neurological disease) from each other using hierarchical cluster and principal component analysis. Some CIS samples were consistently clustered in RRMS class, which may indicate that these CIS patients potentially will transform to RRMS over time. Z-DNA band at 795 cm

Indexed as

Spectroscopy, Fourier Transform InfraredBiomarkersCerebrospinal Fluid ProteinsComputational BiologyHumansLipidsMultiple Sclerosis, Relapsing-RemittingMultivariate AnalysisNucleic AcidsROC CurveBiomarkersCerebrospinal Fluid ProteinsLipidsNucleic Acids

Identifiers

PMID29348591
PMCPMC5773569
OpenAlexW2783513014

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.