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Clinical Relevance of Brain Volume Measures in Multiple Sclerosis

Overview of attention for article published in CNS Drugs, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
246 Dimensions

Readers on

mendeley
290 Mendeley
Title
Clinical Relevance of Brain Volume Measures in Multiple Sclerosis
Published in
CNS Drugs, January 2014
DOI 10.1007/s40263-014-0140-z
Pubmed ID
Authors

Nicola De Stefano, Laura Airas, Nikolaos Grigoriadis, Heinrich P. Mattle, Jonathan O’Riordan, Celia Oreja-Guevara, Finn Sellebjerg, Bruno Stankoff, Agata Walczak, Heinz Wiendl, Bernd C. Kieseier

Abstract

Multiple sclerosis (MS) is a chronic disease with an inflammatory and neurodegenerative pathology. Axonal loss and neurodegeneration occurs early in the disease course and may lead to irreversible neurological impairment. Changes in brain volume, observed from the earliest stage of MS and proceeding throughout the disease course, may be an accurate measure of neurodegeneration and tissue damage. There are a number of magnetic resonance imaging-based methods for determining global or regional brain volume, including cross-sectional (e.g. brain parenchymal fraction) and longitudinal techniques (e.g. SIENA [Structural Image Evaluation using Normalization of Atrophy]). Although these methods are sensitive and reproducible, caution must be exercised when interpreting brain volume data, as numerous factors (e.g. pseudoatrophy) may have a confounding effect on measurements, especially in a disease with complex pathological substrates such as MS. Brain volume loss has been correlated with disability progression and cognitive impairment in MS, with the loss of grey matter volume more closely correlated with clinical measures than loss of white matter volume. Preventing brain volume loss may therefore have important clinical implications affecting treatment decisions, with several clinical trials now demonstrating an effect of disease-modifying treatments (DMTs) on reducing brain volume loss. In clinical practice, it may therefore be important to consider the potential impact of a therapy on reducing the rate of brain volume loss. This article reviews the measurement of brain volume in clinical trials and practice, the effect of DMTs on brain volume change across trials and the clinical relevance of brain volume loss in MS.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Portugal 2 <1%
Netherlands 1 <1%
Brazil 1 <1%
Unknown 284 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 17%
Student > Ph. D. Student 47 16%
Student > Master 27 9%
Student > Doctoral Student 23 8%
Other 21 7%
Other 56 19%
Unknown 66 23%
Readers by discipline Count As %
Medicine and Dentistry 104 36%
Neuroscience 40 14%
Psychology 11 4%
Agricultural and Biological Sciences 9 3%
Engineering 8 3%
Other 32 11%
Unknown 86 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2021.
All research outputs
#2,191,952
of 22,925,760 outputs
Outputs from CNS Drugs
#174
of 1,306 outputs
Outputs of similar age
#27,208
of 306,483 outputs
Outputs of similar age from CNS Drugs
#3
of 22 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 306,483 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.