Evidence map›Paper›PMID 33523256›Full record

ArticleJournal of neurology2021

The relevance of multiple sclerosis cortical lesions on cortical thinning and their clinical impact as assessed by 7.0-T MRI.

Constantina A Treaba, Elena Herranz, Valeria T Barletta, Ambica Mehndiratta, Russell Ouellette, Jacob A Sloane, Eric C Klawiter, Revere P Kinkel, Caterina Mainero

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Efficacy of rituximab in secondary progressive multiple sclerosis: Insights from magnetic resonance imaging and disability assessments.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
    Article
  10. Article
  11. Decoding Gray Matter Involvement in Multiple Sclerosis via Imaging.Neuroimaging clinics of North America · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors at 5 institutions in 1 country.

Constantina A TreabaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Elena HerranzAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Valeria T BarlettaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Ambica MehndirattaAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Russell OuelletteAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Jacob A SloaneDepartment of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Eric C KlawiterDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Revere P KinkelUniversity of California San Diego, La Jolla, CA, USA.
Caterina MaineroAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA. cmainero@mgh.harvard.edu.
Harvard University · USMassachusetts General Hospital · USAthinoula A. Martinos Center for Biomedical Imaging · USBeth Israel Deaconess Medical Center · USUniversity of California, San Diego · US

Funding

Cortical mechanisms of disease progression in early multiple sclerosisR01NS078322 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MAINERO, CATERINA · 2013 to 2017
$1.9M
National Multiple Sclerosis Society FG-1507-05459National Multiple Sclerosis Society NMSS 4281-RG-A1National Multiple Sclerosis Society NMSS RG 4729A2/1NIH HHS R01NS078322-01-A1NINDS NIH HHS R01 NS078322U.S. Department of Defense W81XWH-13-1-0122
6 · The paper itself

Abstract

objectiveThis study aimed to investigate at 7.0-T MRI a) the role of multiple sclerosis (MS) cortical lesions in cortical tissue loss b) their relation to neurological disability.

methodsIn 76 relapsing remitting and 26 secondary progressive MS patients (N = 102) and 56 healthy subjects 7.0-T T

resultsCortical lesions were detected in 96% of patients. White matter lesion load was greater in the high than in the low cortical lesion load MS group (p = 0.01). Both MS groups disclosed clusters (prevalently parietal) of cortical thinning relative to healthy subjects, though these regions did not show the highest cortical lesion density, which predominantly involved frontal regions. Cortical thickness decreased on average by 0.37 mm, (p = 0.002) in MS patients for each unit standard deviation change in white matter lesion volume. The odds of having a higher EDSS were associated with cortical lesion volume (1.78, p = 0.01) and disease duration (1.15, p < 0.001).

conclusionCortical thinning in MS is not directly related to cortical lesion load but rather with white matter lesion volume. Neurological disability in MS is better explained by cortical lesion volume assessment.

Indexed as

Multiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingWhite MatterCerebral Cortical ThinningHumansMagnetic Resonance ImagingBrainCortical atrophyCortical lesionsMultiple sclerosisUltra-high field (7 T)

Identifiers

PMID33523256
OpenAlexW3128310049

What OpenQuestion holds

Textmetadata
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.