Evidence map›Paper›PMID 31654116›Full record

ArticleJournal of neurology2020

Patterns of regional brain volume loss in multiple sclerosis: a cluster analysis.

Juichi Fujimori, Kazuo Fujihara, Ryo Ogawa, Toru Baba, Mike Wattjes, Ichiro Nakashima

Abstract read
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In one paragraph

Article in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Juichi FujimoriDepartment of Neurology, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, 983-8536, Japan. j-fujimori@tohoku-mpu.ac.jp.ORCID http://orcid.org/0000-0001-7170-7853
Kazuo FujiharaDepartment of Multiple Sclerosis Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ryo OgawaDepartment of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Toru BabaDepartment of Neurology, Sendai Nishitaga Hospital, Sendai, Japan.
Mike WattjesDepartment of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany.
Ichiro NakashimaDepartment of Neurology, Tohoku Medical and Pharmaceutical University, 1-15-1 Fukumuro, Miyagino-ku, Sendai, 983-8536, Japan.

Funding

Japan Society for the Promotion of Science 17K09772
6 · The paper itself

Abstract

objectivesAlthough whole and individual regional brain volume loss have been separately reported to correlate with disability in multiple sclerosis (MS), hierarchical cluster analyses of the whole and regional brain to find their pattern in MS are few.

methodsWe cross-sectionally conducted high-resolution, T1-weighted volumetric MRI examinations in 75 MS patients and 21 healthy controls (HCs) to measure the volumes of whole brain and a total of 56 brain regions of interest. Using a hierarchical cluster analysis with multivariate imaging data, we classified the patients into clusters according to their brain-volume patterns. Principal component analysis was also applied. Clinical features and brain volumes were then compared among the MS clusters.

resultsThe MS patients were categorized into three major clusters (Clusters 1, 2, and 3) with increasing disability in that order. Principal component analysis also identified Clusters 1, 2 and 3. Whole brain volume and supratentorial regional brain volumes, including thalamus and corpus callosum, decreased severely in Cluster 3 and moderately in Cluster 2, while equally preserved in Cluster 1 and the HCs. Only the volumes of the ventral diencephalon and T1 white matter hypointensities significantly differed in Clusters 1, 2 and 3 and HCs. In contrast, the volumes of the cerebellar cortex and brainstem were significantly different between Clusters 3 and 1, whereas there were no significant differences between Clusters 1 and 2 and Clusters 2 and 3.

conclusionWe identified brain regions that exhibit different degree of atrophy in a background of global brain atrophy in MS.

Indexed as

AdultAtrophyBrainCluster AnalysisCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisPrincipal Component AnalysisBrain atrophyCluster analysisMRIMultiple sclerosisVolumetric analysis

Identifiers

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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.