ArticleJournal of neurology2016
An MRI-defined measure of cerebral lesion severity to assess therapeutic effects in multiple sclerosis.
Article in Journal of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Neuroimaging markers and disability scales in multiple sclerosis: A systematic review and meta-analysis.PloS one · 2024Pooled it
- Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020Article
- A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis.NeuroImage. Clinical · 2018Article
- Association Between Serum MicroRNAs and Magnetic Resonance Imaging Measures of Multiple Sclerosis Severity.JAMA neurology · 2017Article
- The Contribution of Cortical Lesions to a Composite MRI Scale of Disease Severity in Multiple Sclerosis.Frontiers in neurology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assess the sensitivity of the Magnetic Resonance Disease Severity Scale (MRDSS), based on cerebral lesions and atrophy, for treatment monitoring of glatiramer acetate (GA) in relapsing-remitting multiple sclerosis (MS). This retrospective non-randomized pilot study included patients who started daily GA [n = 23, age (median, range) 41 (26.2, 53.1) years, Expanded Disability Status Scale (EDSS) score 1.0 (0, 3.5)], or received no disease-modifying therapy (noDMT) [n = 21, age 44.8 (28.2, 55.4), EDSS 0 (0, 2.5)] for 2 years. MRDSS was the sum of z-scores (normalized to a reference sample) of T2 hyperintense lesion volume (T2LV), the ratio of T1 hypointense LV to T2LV (T1/T2), and brain parenchymal fraction (BPF) multiplied by negative 1. The two groups were compared by Wilcoxon rank sum tests; within group change was assessed by Wilcoxon signed rank tests. Glatiramer acetate subjects had less progression than noDMT on T1/T2 [(median z-score change (range), 0 (-1.07, 1.20) vs. 0.41 (-0.30, 2.51), p = 0.003)] and MRDSS [0.01 (-1.33, 1.28) vs. 0.46 (-1.57, 2.46), p = 0.01]; however, not on BPF [0.12 (-0.18, 0.58) vs. 0.10 (-1.47,0.50), p = 0.59] and T2LV [-0.03 (-0.90, 0.57) vs. 0.01 (-1.69, 0.34), p = 0.40]. While GA subjects worsened only on BPF [0.12 (-0.18, 0.58), p = 0.001], noDMT worsened on BPF [0.10 (-1.47, 0.50), p = 0.002], T1/T2 [0.41 (-0.30, 2.51), p = 0.0002], and MRDSS [0.46 (-1.57, 2.46), p = 0.0006]. These preliminary findings show the potential of two new cerebral MRI metrics to track MS therapeutic response. The T1/T2, an index of the destructive potential of lesions, may provide particular sensitivity to treatment effects.
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Registered trials
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.