Evidence map›Paper›PMID 32067281›Full record

ArticleHuman brain mapping2020

Longitudinal patterns of cortical thinning in multiple sclerosis.

Charidimos Tsagkas, M Mallar Chakravarty, Laura Gaetano, Yvonne Naegelin, Michael Amann, Katrin Parmar, Athina Papadopoulou, Jens Wuerfel, Ludwig Kappos, Till Sprenger and 1 more

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

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.9field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  17. Machine learning to investigate superficial white matter integrity in early multiple sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
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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 3 institutions in 4 countries.

Charidimos TsagkasNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.ORCID 0000-0002-2586-6316
M Mallar ChakravartyCerebral Imaging Centre - Douglas Mental Health University Institute, Verdun, QC, Canada.
Laura GaetanoF. Hoffmann-La Roche Ltd, Basel, Switzerland.
Yvonne NaegelinNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
Michael AmannNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
Katrin ParmarNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
Athina PapadopoulouNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
Jens WuerfelMedical Image Analysis Center AG, Basel, Switzerland.
Ludwig KapposNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
Till SprengerNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
Stefano MagonNeurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.
University of Basel · CHRoche (Switzerland) · CHDouglas Mental Health University Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multiple sclerosis (MS), cortical atrophy is correlated with clinical and neuropsychological measures. We aimed to examine the differences in the temporospatial evolution of cortical thickness (CTh) between MS-subtypes and to study the association of CTh with T2-weighted white matter lesions (T2LV) and clinical progression. Two hundred and forty-three MS patients (180 relapsing-remitting [RRMS], 51 secondary-progressive [SPMS], and 12 primary-progressive [PPMS]) underwent annual clinical (incl. expanded disability status scale [EDSS]) and MRI-examinations over 6 years. T2LV and CTh were measured. CTh did not differ between MS-subgroups. Higher total T2LV was associated with extended bilateral CTh-reduction on average, but did not correlate with CTh-changes over time. In RRMS, CTh- and EDSS-changes over time were negatively correlated in large bilateral prefrontal, frontal, parietal, temporal, and occipital areas. In SPMS, CTh was not associated with the EDSS. In PPMS, CTh- and EDSS-changes over time were correlated in small clusters predominantly in left parietal areas. Increase of brain lesion load does not lead to an immediate CTh-reduction. Although CTh did not differ between MS-subtypes, a dissociation in the correlation between CTh- and EDSS-changes over time between RRMS and progressive-MS was shown, possibly underlining the contribution of subcortical pathology to clinical progression in progressive-MS.

Indexed as

Disease ProgressionAdultCerebral CortexCerebral Cortical ThinningFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingSeverity of Illness IndexWhite Matteratrophybiomarkerscortical thicknessMRImultiple sclerosisT2 lesions

Identifiers

PMID32067281
PMCPMC7268070
OpenAlexW3007433916

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.