Evidence map›Paper›PMID 30728801›Full record

ArticleFrontiers in neurology2018

The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis.

Eszter Tóth, Péter Faragó, András Király, Nikoletta Szabó, Dániel Veréb, Krisztián Kocsis, Bálint Kincses, Dániel Sandi, Krisztina Bencsik, László Vécsei and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 35 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

11 authors at 1 institution in 1 country.

Eszter TóthDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Péter FaragóDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
András KirályDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Nikoletta SzabóDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Dániel VerébDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Krisztián KocsisDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Bálint KincsesDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Dániel SandiDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Krisztina BencsikDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
László VécseiDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Zsigmond Tamás KincsesDepartment of Neurology, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
University of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next to the disseminated clinical symptoms, cognitive dysfunctions are common features of multiple sclerosis (MS). Over the recent years several different MRI measures became available representing the various features of the pathology, but the contribution to various clinical and cognitive functions is not yet fully understood. In this multiparametric MRI study we set out to identify the set of parameters that best predict the clinical and cognitive disability in MS. High resolution T1 weighted structural and high angular resolution diffusion MRI images were measured in 53 patients with relapsing remitting MS and 53 healthy controls. Clinical disability was inflicted by EDSS and cognitive functions were evaluated with the BICAMS tests. The contribution of lesion load, partial brain, white matter, gray matter and subcortical volumes as well as the diffusion parameters in the area of the lesions and the normal appearing white matter were examined by model free, partial least square (PLS) approach. Significance of the predictors was tested with Variable Importance in the Projection (VIP) score and 1 was used for threshold of significance. The PLS analysis indicated that the axial diffusivity of the NAWM contributed the most to the clinical disability (VIP score: 1.979). For the visuo-spatial working memory the most critical contributor was the size of the bilateral hippocampi (VIP scores: 1.183 and 1.2 left and right respectively). For the verbal memory the best predictors were the size of the right hippocampus (VIP score: 1.972), lesion load (VIP score: 1.274) and the partial brain volume (VIP score: 1.119). In case of the information processing speed the most significant contribution was from the diffusion parameters (fractional anisotropy, mean and radial diffusivity, VIP scores: 1.615, 1.321 respectively) of the normal appearing white matter. Our results indicate that various MRI measurable factors of MS pathology contribute differently to clinical and cognitive disability. These results point out the importance of the volumetry of the subcortical structures and the diffusion measures of the white matter in understanding the disability progression.

Indexed as

atrophyBICAMScognitiondemyelinationmultiple sclerosis

Identifiers

PMID30728801
PMCPMC6351478
OpenAlexW2912531879

What OpenQuestion holds

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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.