Evidence map›Paper›PMID 39155316›Full record

ArticleJournal of neurology2024

The contribution of paramagnetic rim and cortical lesions to physical and cognitive disability at multiple sclerosis clinical onset: evaluating the power of MRI and OCT biomarkers.

Alessandro Miscioscia, Caterina Mainero, Constantina A Treaba, Erica Silvestri, Graziana Scialpi, Angela Berardi, Francesco Causin, Maria Giulia Anglani, Francesca Rinaldi, Paola Perini and 3 more

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Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

13 authors.

Alessandro MisciosciaA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Bldg 149, 13th Street, Charlestown, MA, 02129, USA. amiscioscia@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-7465-6246
Caterina MaineroA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Bldg 149, 13th Street, Charlestown, MA, 02129, USA.
Constantina A TreabaA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Bldg 149, 13th Street, Charlestown, MA, 02129, USA.
Erica SilvestriDepartment of Information Engineering, University of Padua, Padua, Italy.
Graziana ScialpiMultiple Sclerosis Centre of the Veneto Region (CeSMuV), Padua University Hospital, Padua, Italy.
Angela BerardiMultiple Sclerosis Centre of the Veneto Region (CeSMuV), Padua University Hospital, Padua, Italy.
Francesco CausinNeuroradiology Unit, Padua University Hospital, Padua, Italy.
Maria Giulia AnglaniNeuroradiology Unit, Padua University Hospital, Padua, Italy.
Francesca RinaldiMultiple Sclerosis Centre of the Veneto Region (CeSMuV), Padua University Hospital, Padua, Italy.
Paola PeriniMultiple Sclerosis Centre of the Veneto Region (CeSMuV), Padua University Hospital, Padua, Italy.
Marco PuthenparampilDepartment of Neuroscience, University of Padua, Padua, Italy.
Alessandra BertoldoDepartment of Information Engineering, University of Padua, Padua, Italy.
Paolo GalloDepartment of Neuroscience, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn multiple sclerosis (MS), imaging biomarkers play a crucial role in characterizing the disease at the time of diagnosis. MRI and optical coherence tomography (OCT) provide readily available biomarkers that may help to define the patient's clinical profile. However, the evaluation of cortical and paramagnetic rim lesions (CL, PRL), as well as retinal atrophy, is not routinely performed in clinic.

objectiveTo identify the most significant MRI and OCT biomarkers associated with early clinical disability in MS.

methodsBrain, spinal cord (SC) MRI, and OCT scans were acquired from 45 patients at MS diagnosis to obtain: brain PRL and non-PRL, CL, SC lesion volumes and counts, brain volumetric metrics, SC C2-C3 cross-sectional area, and retinal layer thickness. Regression models assessed relationships with physical disability (Expanded Disability Status Scale [EDSS]) and cognitive performance (Brief International Cognitive Assessment for Multiple Sclerosis [BICAMS]).

resultsIn a stepwise regression (R

conclusionAt MS onset, PRL and SC lesions exhibit the strongest association with physical disability, while CL strongly contribute to cognitive performance. Incorporating the evaluation of PRL and CL into the initial MS patient assessment could help define their clinical profile, thus supporting the treatment choice.

Indexed as

Magnetic Resonance ImagingMultiple SclerosisTomography, Optical CoherenceAdultBiomarkersBrainCerebral CortexCognitive DysfunctionDisability EvaluationFemaleHumansMaleMiddle AgedSpinal CordBiomarkersCortical lesionMultiple sclerosisOptical coherence tomographyParamagnetic rim lesionSpinal cord

Identifiers

PMID39155316

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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.