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Annual severity increment score as a tool for stratifying patients with Niemann-Pick disease type C and for recruitment to clinical trials

Overview of attention for article published in Orphanet Journal of Rare Diseases, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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3 patents

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Title
Annual severity increment score as a tool for stratifying patients with Niemann-Pick disease type C and for recruitment to clinical trials
Published in
Orphanet Journal of Rare Diseases, August 2018
DOI 10.1186/s13023-018-0880-9
Pubmed ID
Authors

Mario Cortina-Borja, Danielle te Vruchte, Eugen Mengel, Yasmin Amraoui, Jackie Imrie, Simon A. Jones, Christine i Dali, Paul Fineran, Thomas Kirkegaard, Heiko Runz, Robin Lachmann, Tatiana Bremova-Ertl, Michael Strupp, Frances M. Platt

Abstract

Niemann-Pick disease type C (NPC) is a lysosomal storage disease with a heterogeneous neurodegenerative clinical course. Multiple therapies are in clinical trials and inclusion criteria are currently mainly based on age and neurological signs, not taking into consideration differential individual rates of disease progression. In this study, we have evaluated a simple metric, denoted annual severity increment score (ASIS), that measures rate of disease progression and could easily be used in clinical practice. We show that ASIS is stable over several years and can be used to stratify patients for clinical trials. It achieves greater homogeneity of the study cohort relative to age-based inclusion and provides an evidence-based approach for establishing inclusion/exclusion criteria. In addition, we show that ASIS has prognostic value and demonstrate that treatment with an experimental therapy - acetyl-DL-leucine - is associated with a reduction in ASIS scores. ASIS has the potential to be a useful metric for clinical monitoring, trial recruitment, for prognosis and measuring response to therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Other 8 20%
Researcher 8 20%
Student > Bachelor 5 12%
Student > Ph. D. Student 4 10%
Student > Master 3 7%
Other 4 10%
Unknown 9 22%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Biochemistry, Genetics and Molecular Biology 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 5 12%
Agricultural and Biological Sciences 5 12%
Psychology 3 7%
Other 3 7%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 December 2022.
All research outputs
#5,960,063
of 24,195,945 outputs
Outputs from Orphanet Journal of Rare Diseases
#744
of 2,846 outputs
Outputs of similar age
#89,287
of 305,284 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#22
of 57 outputs
Altmetric has tracked 24,195,945 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 73% 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 305,284 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 70% of its contemporaries.
We're also able to compare this research output to 57 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 63% of its contemporaries.