Evidence map›Paper›PMID 33749378›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2021

Cervical cord myelin abnormality is associated with clinical disability in multiple sclerosis.

Lisa Eunyoung Lee, Irene M Vavasour, Adam Dvorak, Hanwen Liu, Shawna Abel, Poljanka Johnson, Stephen Ristow, Shelly Au, Cornelia Laule, Roger Tam and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability.Journal of imaging informatics in medicine · 2024
    Article
  5. Review
  6. 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

20 authors at 1 institution in 1 country.

Lisa Eunyoung LeeDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-8334-3740
Irene M VavasourDepartment of Radiology, The University of British Columbia, Vancouver, BC, Canada.
Adam DvorakDepartment of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada.ORCID 0000-0001-6107-5610
Hanwen LiuDepartment of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada.
Shawna AbelDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-8547-1415
Poljanka JohnsonDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Stephen RistowDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Shelly AuDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Cornelia LauleDepartment of Radiology, The University of British Columbia, Vancouver, BC, Canada; Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada.
Roger TamDepartment of Radiology, The University of British Columbia, Vancouver, BC, Canada.
David Kb LiDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada/Department of Radiology, The University of British Columbia, Vancouver, BC, Canada.
Helen CrossDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Nathalie AckermansDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Alice J SchabasDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Jillian ChanDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Ana-Luiza SayaoDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Virginia DevonshireDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Robert CarruthersDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-7085-1001
Anthony TraboulseeDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Shannon KolindDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada; Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair and Discoveries, Vancouver, BC, Canada.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyelin water imaging (MWI) was recently optimized to provide quantitative in vivo measurement of spinal cord myelin, which is critically involved in multiple sclerosis (MS) disability.

objectiveTo assess cervical cord myelin measurements in relapsing-remitting multiple sclerosis (RRMS) and progressive multiple sclerosis (ProgMS) participants and evaluate the correlation between myelin measures and clinical disability.

methodsWe used MWI data from 35 RRMS, 30 ProgMS, and 28 healthy control (HC) participants collected at cord level C2/C3 on a 3 T magnetic resonance imaging (MRI) scanner. Myelin heterogeneity index (MHI), a measurement of myelin variability, was calculated for whole cervical cord, global white matter, dorsal column, lateral and ventral funiculi. Correlations were assessed between MHI and Expanded Disability Status Scale (EDSS), 9-Hole Peg Test (9HPT), timed 25-foot walk, and disease duration.

resultsIn various regions of the cervical cord, ProgMS MHI was higher compared to HC (between 9.5% and 31%,

conclusionMyelin abnormalities within clinically eloquent areas are related to clinical disability. MWI metrics have a potential role for monitoring subclinical disease progression and adjudicating treatment efficacy for new therapies targeting ProgMS.

Indexed as

Cervical CordMultiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingDisability EvaluationHumansMagnetic Resonance ImagingMyelin SheathSpinal Corddemyelinationmagnetic resonance imagingMultiple sclerosismyelin water imagingquantitative MRIspinal cord

Identifiers

PMID33749378
PMCPMC8597183
OpenAlexW3137966630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.