Evidence map›Paper›PMID 29159057›Full record

ArticleNeuroImage. Clinical2018

Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study.

Niels Bergsland, Dana Horakova, Michael G Dwyer, Tomas Uher, Manuela Vaneckova, Michaela Tyblova, Zdenek Seidl, Jan Krasensky, Eva Havrdova, Robert Zivadinov

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  11. Assessing the role of volumetric brain information in multiple sclerosis progression.Computational and structural biotechnology journal · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Niels BergslandBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA. Electronic address: npbergsland@bnac.net.
Dana HorakovaDepartment of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Michael G DwyerBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Tomas UherDepartment of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Manuela VaneckovaDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
Michaela TyblovaDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
Zdenek SeidlDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
Jan KrasenskyDepartment of Radiology, 1st Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
Eva HavrdovaDepartment of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Translational Imaging Center at Clinical Translational Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA.
Charles University · CZBuffalo Psychiatric Center · USImaging Center · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate spatial patterns of gray matter (GM) atrophy and their association with disability progression in patients with early relapsing-remitting multiple sclerosis (MS) in a longitudinal setting.

methodsBrain MRI and clinical neurological assessments were obtained in 152 MS patients at baseline and after 10 years of follow-up. Patients were classified into those with confirmed disability progression (CDP) (

resultsThe identified patterns generally included structurally or functionally related GM regions. No significant differences were detected at baseline GM volume between the sub-groups. Over the follow-up, patients with CDP experienced a significantly greater rate of GM atrophy within two of the eight patterns, after correction for multiple comparisons (corrected

conclusionSBM analysis offers a novel way to study the temporal evolution of regional GM atrophy. Over 10 years of follow-up, disability progression in MS is related to GM atrophy in areas associated with motor and cognitive functioning.

Indexed as

Disease ProgressionAtrophyBrainBrain MappingFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingAtrophyDisabilityGray matterMRIMultiple sclerosis

Identifiers

PMID29159057
PMCPMC5684496
OpenAlexW2765491906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.