Evidence map›Paper›PMID 32024782›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2020

Covarying patterns of white matter lesions and cortical atrophy predict progression in early MS.

Muthuraman Muthuraman, Vinzenz Fleischer, Julia Kroth, Dumitru Ciolac, Angela Radetz, Nabin Koirala, Gabriel Gonzalez-Escamilla, Heinz Wiendl, Sven G Meuth, Frauke Zipp and 1 more

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

Article in Neurology(R) neuroimmunology & neuroinflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. Impaired lung function in multiple sclerosis: a single-center observational study in 371 persons.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Observational
  8. Article
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  12. Translational value of choroid plexus imaging for tracking neuroinflammation in mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Network Damage Predicts Clinical Worsening in Multiple Sclerosis: A 6.4-Year Study.Neurology(R) neuroimmunology & neuroinflammation · 2021
    Article
  14. Article
  15. Article
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.

Muthuraman MuthuramanFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.ORCID 0000-0001-6158-2663
Vinzenz FleischerFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Julia KrothFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Dumitru CiolacFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Angela RadetzFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Nabin KoiralaFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Gabriel Gonzalez-EscamillaFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Heinz WiendlFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Sven G MeuthFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Frauke ZippFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany.
Sergiu GroppaFrom the Department of Neurology (M.M., V.F., J.K., D.C., A.R., N.K., G.G.-E., F.Z., S.G.), Focus Program Translational Neuroscience (FTN), Research Center for Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz; and Department of Neurology with Institute of Translational Neurology (H.W., S.G.M.), University of Munster, Germany. segroppa@uni-mainz.de.
Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe applied longitudinal 3T MRI and advanced computational models in 2 independent cohorts of patients with early MS to investigate how white matter (WM) lesion distribution and cortical atrophy topographically interrelate and affect functional disability.

methodsClinical disability was measured using the Expanded Disability Status Scale Score at baseline and at 1-year follow-up in a cohort of 119 patients with early relapsing-remitting MS and in a replication cohort of 81 patients. Covarying patterns of cortical atrophy and baseline lesion distribution were extracted by parallel independent component analysis. Predictive power of covarying patterns for disability progression was tested by receiver operating characteristic analysis at the group level and support vector machine for individual patient outcome.

resultsIn the study cohort, we identified 3 distinct distribution types of WM lesions (cerebellar, bihemispheric, and left lateralized) that were associated with characteristic cortical atrophy distributions. The cerebellar and left-lateralized patterns were reproducibly detected in the second cohort. Each of the patterns predicted to different extents, short-term disability progression, whereas the cerebellar pattern was associated with the highest risk of clinical worsening, predicting individual disability progression with an accuracy of 88% (study cohort) and 89% (replication cohort), respectively.

conclusionThese findings highlight the role of distinct spatial distribution of cortical atrophy and WM lesions predicting disability. The cerebellar involvement is shown as a key determinant of rapid clinical deterioration.

Indexed as

Disease ProgressionAdultAtrophyCerebellumCerebral CortexFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingPrognosisSupport Vector MachineWhite Matter

Identifiers

PMID32024782
PMCPMC7051213
OpenAlexW3005231649

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