Evidence map›Paper›PMID 39611182›Full record

ReviewBrain communications2024

Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future.

B Mark Keegan, Martina Absinta, Julien Cohen-Adad, Eoin P Flanagan, Roland G Henry, Eric C Klawiter, Shannon Kolind, Stephen Krieger, Cornelia Laule, John A Lincoln and 5 more

Abstract readReview
In one paragraph

Review in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

15 authors.

B Mark KeeganDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-2880-935X
Martina AbsintaDepartment of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA.
Julien Cohen-AdadInstitute of Biomedical Imaging, Polytechnique Montreal, Montreal, Canada H3T 1J4.
Eoin P FlanaganDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-6661-2910
Roland G HenryDepartment of Neurology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID https://orcid.org/0000-0002-8232-7562
Eric C KlawiterDepartment of Neurology, Harvard Medical School, Boston, MA 02115, USA.ORCID https://orcid.org/0000-0002-3429-2633
Shannon KolindDivision of Neurology, University of British Columbia, Vancouver, Canada V6T 2B5.
Stephen KriegerDepartment of Neurology, Mount Sinai, New York City, NY 10029, USA.
Cornelia LauleDivision of Neurology, University of British Columbia, Vancouver, Canada V6T 2B5.ORCID https://orcid.org/0000-0002-9785-6918
John A LincolnMcGovern Medical School, UTHealth, Houston, TX 77030, USA.
Steven MessinaDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Jiwon OhDivision of Neurology, University of Toronto, Toronto, Canada M5B 1W8.
Nico PapinuttoDepartment of Neurology, University of California San Francisco, San Francisco, CA 94143, USA.
Seth Aaron SmithInstitute of Imaging Science, Vanderbilt University, Nashville, TN 37232, USA.
Anthony TraboulseeDivision of Neurology, University of British Columbia, Vancouver, Canada V6T 2B5.ORCID https://orcid.org/0000-0002-0351-9639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord disease is important in most people with multiple sclerosis, but assessment remains less emphasized in patient care, basic and clinical research and therapeutic trials. The North American Imaging in Multiple Sclerosis Spinal Cord Interest Group was formed to determine and present the contemporary landscape of multiple sclerosis spinal cord evaluation, further existing and advanced spinal cord imaging techniques, and foster collaborative work. Important themes arose: (i) multiple sclerosis spinal cord lesions (differential diagnosis, association with clinical course); (ii) spinal cord radiological-pathological associations; (iii) 'critical' spinal cord lesions; (iv) multiple sclerosis topographical model; (v) spinal cord atrophy; and (vi) automated and special imaging techniques. Distinguishing multiple sclerosis from other myelopathic aetiology is increasingly refined by imaging and serological studies. Post-mortem spinal cord findings and MRI pathological correlative studies demonstrate MRI's high sensitivity in detecting microstructural demyelination and axonal loss. Spinal leptomeninges include immune inflammatory infiltrates, some in B-cell lymphoid-like structures. 'Critical' demyelinating lesions along spinal cord corticospinal tracts are anatomically consistent with and may be disproportionately associated with motor progression. Multiple sclerosis topographical model implicates the spinal cord as an area where threshold impairment associates with multiple sclerosis disability. Progressive spinal cord atrophy and 'silent' multiple sclerosis progression may be emerging as an important multiple sclerosis prognostic biomarker. Manual atrophy assessment is complicated by rater bias, while automation (e.g. Spinal Cord Toolbox), and artificial intelligence may reduce this. Collaborative research by the North American Imaging in Multiple Sclerosis and similar groups with experts combining distinct strengths is key to advancing assessment and treatment of people with multiple sclerosis spinal cord disease.

Indexed as

atrophymagnetic resonance imagingmultiple sclerosispathologyspinal cord

Identifiers

PMID39611182
PMCPMC11604059

What OpenQuestion holds

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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.