Evidence map›Paper›PMID 39258257›Full record

ArticleBrain communications2024

Patterns of cerebral damage in multiple sclerosis and aquaporin-4 antibody-positive neuromyelitis optica spectrum disorders-major differences revealed by non-conventional imaging.

Paweł Jakuszyk, Aleksandra Podlecka-Piętowska, Bartosz Kossowski, Monika Nojszewska, Beata Zakrzewska-Pniewska, Maciej Juryńczyk

Abstract read
In one paragraph

Article in Brain communications, 2024. 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. Article
  2. Article
  3. Review
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

6 authors.

Paweł JakuszykLaboratory of Brain Imaging, Polish Academy of Sciences, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland.ORCID https://orcid.org/0000-0001-7290-3178
Aleksandra Podlecka-PiętowskaDepartment of Neurology, Medical University of Warsaw, 02-091 Warsaw, Poland.
Bartosz KossowskiLaboratory of Brain Imaging, Polish Academy of Sciences, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland.
Monika NojszewskaDepartment of Neurology, Medical University of Warsaw, 02-091 Warsaw, Poland.
Beata Zakrzewska-PniewskaDepartment of Neurology, Medical University of Warsaw, 02-091 Warsaw, Poland.
Maciej JuryńczykLaboratory of Brain Imaging, Polish Academy of Sciences, Nencki Institute of Experimental Biology, 02-093 Warsaw, Poland.ORCID https://orcid.org/0000-0002-5081-9677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis and aquaporin-4 antibody neuromyelitis optica spectrum disorders are distinct autoimmune CNS disorders with overlapping clinical features but differing pathology. Multiple sclerosis is primarily a demyelinating disease with the presence of widespread axonal damage, while neuromyelitis optica spectrum disorders is characterized by astrocyte injury with secondary demyelination. Diagnosis is typically based on lesion characteristics observed on standard MRI imaging and antibody testing but can be challenging in patients with in-between clinical presentations. Non-conventional MRI techniques can provide valuable diagnostic information by measuring disease processes at the microstructural level. We used non-conventional MRI to measure markers of axonal loss in specific white matter tracts in multiple sclerosis and neuromyelitis optica spectrum disorders, depending on their relationship with focal lesions. Patients with relapsing-remitting multiple sclerosis (

Indexed as

differential diagnosismagnetic resonance imagingNMOSDtractometry analysiswhite matter damage

Identifiers

PMID39258257
PMCPMC11384145

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Registered trials

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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.