Evidence map›Paper›PMID 34770434›Full record

ArticleSensors (Basel, Switzerland)2021

Optical Coherence Tomography in the Differential Diagnosis of Patients with Multiple Sclerosis and Patients with MRI Nonspecific White Matter Lesions.

Małgorzata Siger, Marta Owidzka, Mariola Świderek-Matysiak, Wojciech Omulecki, Mariusz Stasiołek

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review of atypical optic neuritis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  2. 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

5 authors at 1 institution in 1 country.

Małgorzata SigerDepartment of Neurology, Medical University of Lodz, 90-419 Lodz, Poland.
Marta OwidzkaDepartment of Eye Disease, Medical University of Lodz, 90-419 Lodz, Poland.
Mariola Świderek-MatysiakDepartment of Neurology, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0002-6779-308X
Wojciech OmuleckiDepartment of Eye Disease, Medical University of Lodz, 90-419 Lodz, Poland.
Mariusz StasiołekDepartment of Neurology, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0002-2582-1708
Medical University of Lodz · PL

Funding

The National Centre for Research and Development grant POIR.04.01.04-00-0118/17
6 · The paper itself

Abstract

In the differential diagnosis of nonspecific white matter lesions (NSWMLs) detected on magnetic resonance imaging (MRI), multiple sclerosis (MS) should be taken into consideration. Optical coherence tomography (OCT) is a promising tool applied in the differential diagnostic process of MS. We tested whether OCT may be useful in distinguishing between MS and NSWMLs patients. In patients with MS (n = 41) and NSWMLs (n = 19), the following OCT parameters were measured: thickness of the peripapillary Retinal Nerve Fibre Layer (pRNFL) in superior, inferior, nasal, and temporal segments; thickness of the ganglion cell-inner plexiform layer (GCIPL); thickness of macular RNFL (mRNFL); and macular volume (MV). In MS patients, GCIPL was significantly lower than in NSWMLs patients (

Indexed as

Multiple SclerosisWhite MatterDiagnosis, DifferentialHumansMagnetic Resonance ImagingRetinal Ganglion CellsTomography, Optical Coherencedifferential diagnosismultiple sclerosisnonspecific white matter lesionsoptical coherence tomography

Identifiers

PMID34770434
PMCPMC8588219
OpenAlexW3209888665

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.