Evidence map›Paper›PMID 30742302›Full record

ArticleNeurologia i neurochirurgia polska

Spatial distribution of white matter degenerative lesions and cognitive dysfunction in relapsing-remitting multiple sclerosis patients.

Natalia Nowaczyk, Alicja Kalinowska-Łyszczarz, Włodzimierz Paprzycki, Sławomir Michalak, Radosław Kaźmierski, Mikołaj A Pawlak

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurologia i neurochirurgia polska. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 12 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

6 authors at 2 institutions in 1 country.

Natalia NowaczykDepartment of Health Psychology and Clinical Psychology Institute of Psychology, Adam Mickiewicz University in Poznan, Poland.
Alicja Kalinowska-ŁyszczarzDivision of Neurochemistry and Neuropathology, Department of Neurology, Poznan University of Medical Sciences (PUMS), 49 Przybyszewskiego Street, Poznan, Poland.
Włodzimierz PaprzyckiDepartment of Neuroradiology, Poznan University of Medical Sciences, Poland.
Sławomir MichalakDivision of Neurochemistry and Neuropathology, Department of Neurology, Poznan University of Medical Sciences (PUMS), 49 Przybyszewskiego Street, Poznan, Poland.
Radosław KaźmierskiDepartment of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, L. Bierkowski Hospital, Poznań, Poland.
Mikołaj A PawlakDepartment of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, L. Bierkowski Hospital, Poznań, Poland.
Poznan University of Medical Sciences · PLAdam Mickiewicz University in Poznań · PL

Funding

SPATIALLY ORIENTED DATABASE FOR DIGITAL BRAIN IMAGESR01AG013743 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HERSKOVITS, EDWARD H · 1995 to 2010
$3.7M
NIA NIH HHS R01 AG013743
6 · The paper itself

Abstract

aimThe aim of this study was to assess degenerative lesion localisation in the course of relapsing-remitting multiple sclerosis (RRMS) and to identify the association between localisation and the frequency of T1-hypointense lesions (black holes) with cognitive dysfunction. We also searched for neuroradiological predictors of cognitive dysfunction in patients. The clinical rationale for the study was previous research, and our own findings suggest that lesion localisation plays an important role in cognitive performance and neurological disability of MS patients. MATERIAL AND

methodsForty-two patients were included in the study. All subjects underwent neuropsychological examination using Raven's Coloured Progressive Matrices, a naming task from the Brief Repeatable Battery of Neuropsychological Tests, and attention to detail tests. Magnetic resonance imaging (MRI) was acquired on 1.5 Tesla scanner and black holes were manually segmented on T1-weighted volumetric images using the FMRIB Software Library. Linear regression was applied to establish a relationship between black hole volume per lobe and cognitive parameters. Bonferroni correction of voxelwise analysis was used to correct for multiple comparisons.

resultsThe following associations between black hole volume and cognition were identified: frontal lobes black hole volume was associated with phonemic verbal fluency (t = -4.013, p < 0.001), parietal black hole volume was associated with attention (t = -3.776, p < 0.001), and parietal and temporal black hole volumes were associated with nonverbal intelligence (p < 0.001). The volume of parietal black holes was the best predictor of cognitive dysfunction.

conclusionsOur approach, including measurement of focal axonal loss based on T1-volumetric MRI sequence and brief neuropsychological assessment, might improve personalised diagnostic and therapeutic decisions in clinical practice.

Indexed as

Cognitive DysfunctionMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingWhite MatterBrainHumansMagnetic Resonance ImagingNeuropsychological Testsblack holescognitive dysfunctionmagnetic resonance imaging (MRI)relapsing-remitting multiple sclerosis (RRMS)T1-hypointense lesions

Identifiers

PMID30742302
PMCPMC8800152
OpenAlexW2909190756

What OpenQuestion holds

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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.