↓ Skip to main content

Meta-analysis of the Age-Dependent Efficacy of Multiple Sclerosis Treatments

Overview of attention for article published in Frontiers in Neurology, November 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
16 X users

Citations

dimensions_citation
197 Dimensions

Readers on

mendeley
174 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Meta-analysis of the Age-Dependent Efficacy of Multiple Sclerosis Treatments
Published in
Frontiers in Neurology, November 2017
DOI 10.3389/fneur.2017.00577
Pubmed ID
Authors

Ann Marie Weideman, Marco Aurelio Tapia-Maltos, Kory Johnson, Mark Greenwood, Bibiana Bielekova

Abstract

To perform a meta-analysis of randomized, blinded, multiple sclerosis (MS) clinical trials, to test the hypothesis that efficacy of immunomodulatory disease-modifying therapies (DMTs) on MS disability progression is strongly dependent on age. We performed a literature search with pre-defined criteria and extracted relevant features from 38 clinical trials that assessed efficacy of DMTs on disability progression. We fit a linear regression, weighted for trial sample size, and duration, to examine the hypothesis that age has a defining effect on the therapeutic efficacy of immunomodulatory DMTs. More than 28,000 MS subjects participating in trials of 13 categories of immunomodulatory drugs are included in the meta-analysis. The efficacy of immunomodulatory DMTs on MS disability strongly decreased with advancing age (R2 = 0.6757, p = 6.39e-09). Inclusion of baseline EDSS did not significantly improve the model. The regression predicts zero efficacy beyond approximately age 53 years. The comparative efficacy rank derived from the regression residuals differentiates high- and low-efficacy drugs. High-efficacy drugs outperform low-efficacy drugs in inhibiting MS disability only for patients younger than 40.5 years. The meta-analysis supports the notion that progressive MS is simply a later stage of the MS disease process and that age is an essential modifier of a drug efficacy. Higher efficacy treatments exert their benefit over lower efficacy treatments only during early stages of MS, and, after age 53, the model suggests that there is no predicted benefit to receiving immunomodulatory DMTs for the average MS patient.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 174 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 16%
Other 23 13%
Student > Doctoral Student 18 10%
Student > Master 14 8%
Student > Ph. D. Student 13 7%
Other 33 19%
Unknown 46 26%
Readers by discipline Count As %
Medicine and Dentistry 54 31%
Neuroscience 26 15%
Agricultural and Biological Sciences 7 4%
Biochemistry, Genetics and Molecular Biology 7 4%
Nursing and Health Professions 5 3%
Other 20 11%
Unknown 55 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 16 February 2021.
All research outputs
#1,087,321
of 23,007,887 outputs
Outputs from Frontiers in Neurology
#319
of 11,904 outputs
Outputs of similar age
#24,398
of 328,166 outputs
Outputs of similar age from Frontiers in Neurology
#7
of 208 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 97% 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 328,166 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 92% of its contemporaries.
We're also able to compare this research output to 208 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 96% of its contemporaries.