↓ Skip to main content

A comparative analysis of Patient-Reported Expanded Disability Status Scale tools

Overview of attention for article published in Multiple Sclerosis Journal, July 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
59 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
A comparative analysis of Patient-Reported Expanded Disability Status Scale tools
Published in
Multiple Sclerosis Journal, July 2016
DOI 10.1177/1352458515616205
Pubmed ID
Authors

Christian DE Collins, Ben Ivry, James D Bowen, Eric M Cheng, Ruth Dobson, Douglas S Goodin, Jeannette Lechner-Scott, Ludwig Kappos, Ian Galea

Abstract

Patient-Reported Expanded Disability Status Scale (PREDSS) tools are an attractive alternative to the Expanded Disability Status Scale (EDSS) during long term or geographically challenging studies, or in pressured clinical service environments. Because the studies reporting these tools have used different metrics to compare the PREDSS and EDSS, we undertook an individual patient data level analysis of all available tools. Spearman's rho and the Bland-Altman method were used to assess correlation and agreement respectively. A systematic search for validated PREDSS tools covering the full EDSS range identified eight such tools. Individual patient data were available for five PREDSS tools. Excellent correlation was observed between EDSS and PREDSS with all tools. A higher level of agreement was observed with increasing levels of disability. In all tools, the 95% limits of agreement were greater than the minimum EDSS difference considered to be clinically significant. However, the intra-class coefficient was greater than that reported for EDSS raters of mixed seniority. The visual functional system was identified as the most significant predictor of the PREDSS-EDSS difference. This analysis will (1) enable researchers and service providers to make an informed choice of PREDSS tool, depending on their individual requirements, and (2) facilitate improvement of current PREDSS tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Ph. D. Student 9 15%
Researcher 6 10%
Student > Bachelor 6 10%
Student > Postgraduate 4 7%
Other 13 22%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Neuroscience 9 15%
Nursing and Health Professions 5 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Engineering 2 3%
Other 7 12%
Unknown 19 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 January 2021.
All research outputs
#6,049,978
of 22,832,057 outputs
Outputs from Multiple Sclerosis Journal
#1,686
of 3,454 outputs
Outputs of similar age
#103,098
of 363,550 outputs
Outputs of similar age from Multiple Sclerosis Journal
#152
of 405 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,454 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 51% 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 363,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.