Evidence map›Paper›PMID 27445966›Full record

ArticleFrontiers in neurology2016

The Contribution of Cortical Lesions to a Composite MRI Scale of Disease Severity in Multiple Sclerosis.

Fawad Yousuf, Gloria Kim, Shahamat Tauhid, Bonnie I Glanz, Renxin Chu, Subhash Tummala, Brian C Healy, Rohit Bakshi

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In one paragraph

Article in Frontiers in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Magnetic Resonance Imaging in Multiple Sclerosis.Cold Spring Harbor perspectives in medicine · 2018
    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

8 authors.

Fawad YousufDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Gloria KimDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Shahamat TauhidDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Bonnie I GlanzDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Renxin ChuDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Subhash TummalaDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brian C HealyDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rohit BakshiDepartment of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Laboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test a new version of the Magnetic Resonance Disease Severity Scale (v.3 = MRDSS3) for multiple sclerosis (MS), incorporating cortical gray matter lesions (CLs) from 3T magnetic resonance imaging (MRI).

backgroundMRDSS1 was a cerebral MRI-defined composite scale of MS disease severity combining T2 lesion volume (T2LV), the ratio of T1 to T2LV (T1/T2), and whole brain atrophy [brain parenchymal fraction (BPF)]. MRDSS2 expanded the scale to include cerebral gray matter fraction (GMF) and upper cervical spinal cord area (UCCA). We tested the contribution of CLs to the scale (MRDSS3) in modeling the MRI relationship to clinical status.

methodsWe studied 51 patients [3 clinically isolated syndrome, 43 relapsing-remitting, 5 progressive forms, age (mean ± SD) 40.7 ± 9.1 years, Expanded Disability Status Scale (EDSS) score 1.6 ± 1.7] and 20 normal controls by high-resolution cerebrospinal MRI. CLs required visibility on both fluid-attenuated inversion-recovery (FLAIR) and modified driven equilibrium Fourier transform sequences. The MACFIMS battery defined cognitively impaired (n = 18) vs. preserved (n = 33) MS subgroups.

resultsEDSS significantly correlated with only BPF, UCCA, MRDSS2, and MRDSS3 (all p < 0.05). After adjusting for depressive symptoms, the cognitively impaired group had higher severity of MRI metrics than the cognitively preserved group in regard to only BPF, GMF, T1/T2, MRDSS1, and MRDSS2 (all p < 0.05). CL number was not significantly related to EDSS score or cognition status.

conclusionCLs from 3T MRI did not appear to improve the validity of the MRDSS. Further studies employing advanced sequences or higher field strengths may show more utility for the incorporation of CLs into composite scales.

Indexed as

brainbrain atrophycognitioncortical lesionsMRImultiple sclerosisphysical disabilityspinal cord

Identifiers

PMID27445966
PMCPMC4925661

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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.