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Validation of a prognostic index for Huntington's disease

Overview of attention for article published in Movement Disorders, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Article details
Title
Validation of a prognostic index for Huntington's disease
Published in
Movement Disorders, November 2016
DOI 10.1002/mds.26838
Pubmed ID
Authors
Abstract

Characterizing progression in Huntington's disease is important for study the natural course and selecting appropriate participants for clinical trials. The aim was to develop a prognostic index for motor diagnosis in Huntington's disease and examine its predictive performance in external observational studies. The prediagnosis Neuro-biological Predictors of Huntington's Disease study (N = 945 gene-positive) was used to select a Cox regression model for computing a prognostic index. Cross-validation was used for selecting a model with good internal validity performance using the research sites as natural splits of the data set. Then, the external predictive performance was assessed using prediagnosis data from three additional observational studies, The Cooperative Huntington Observational Research Trial (N = 358), TRACK-HD (N = 118), and REGISTRY (N = 480). Model selection yielded a prognostic index computed as the weighted combination of the UHDRS total motor score, Symbol Digit Modalities Test, baseline age, and cytosine-adenine-guanine expansion. External predictive performance was very good for the first two of the three studies, with the third being a much more progressed cohort than the other studies. The databases were pooled and a final Cox regression model was estimated. The regression coefficients were scaled to produce the prognostic index for Huntington's disease, and a normed version, which is scaled relative to a 10-year 50% probability of motor diagnosis. The positive results of this comprehensive validity analysis provide evidence that the prognostic index is generally useful for predicting Huntington's disease progression in terms of risk of future motor diagnosis. The variables for the index are routinely collected in ongoing observational studies and the index can be used to identify cohorts for clinical trial recruitment. © 2016 International Parkinson and Movement Disorder Society.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 1%
Unknown 92 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 16%
Student > Ph. D. Student 13 14%
Student > Master 8 9%
Student > Bachelor 6 6%
Other 5 5%
Other 10 11%
Unknown 36 39%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 12%
Neuroscience 9 10%
Psychology 8 9%
Nursing and Health Professions 5 5%
Agricultural and Biological Sciences 5 5%
Other 17 18%
Unknown 38 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 December 2025.
All research outputs
#6,329,152
of 34,115,020 outputs
Outputs from Movement Disorders
#2,212
of 6,241 outputs
Outputs of similar age
#84,307
of 454,424 outputs
Outputs of similar age from Movement Disorders
#23
of 62 outputs
Altmetric has tracked 34,115,020 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,241 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 64% 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 454,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 62 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.