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Use of biomarkers in the context of orphan medicines designation in the European Union

Overview of attention for article published in Orphanet Journal of Rare Diseases, 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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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3 policy sources
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1 X user

Citations

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9 Dimensions

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28 Mendeley
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Title
Use of biomarkers in the context of orphan medicines designation in the European Union
Published in
Orphanet Journal of Rare Diseases, January 2014
DOI 10.1186/1750-1172-9-13
Pubmed ID
Authors

Stelios Tsigkos, Jordi Llinares, Segundo Mariz, Stiina Aarum, Laura Fregonese, Bozenna Dembowska-Baginska, Rembert Elbers, Pauline Evers, Tatiana Foltanova, Andre Lhoir, Ana Corrêa-Nunes, Daniel O’Connor, Albertha Voordouw, Kerstin Westermark, Bruno Sepodes

Abstract

The use of biomarkers within the procedures of the Committee of Orphan Medicinal Products (COMP) of the European Medicines Agency (EMA) is discussed herein. The applications for Orphan Medicinal Product designation in the EU are evaluated at two stages. At the time of orphan designation application, the file undergoes an assessment to establish whether the proposed condition is a distinct and serious condition affecting not more than 5 in 10,000 people in the EU, and whether the product is plausible as a therapy for that condition. In cases where therapies already exist, the significant benefit of the candidate product over existing therapies is also evaluated. The orphan criteria are reassessed at the time of marketing authorisation, so that marketing exclusivity for the product in the orphan medical condition can be granted. Within this context, biomarkers have been used in submissions in order to define an orphan condition and to justify that the criteria for orphan designation are met. The current work discusses specific examples from the experience of the COMP, where biomarkers have played a decisive role. Importantly, it identifies the proposal of sub-sets of non-rare conditions based on biomarkers as a challenging issue in the evaluation of applications. In particular two specific requirements for the candidate orphan medicines in relation to the biomarker-based subsets are highlighted: the "plausible link to the condition" and the "exclusion of effects outside the subset".

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Other 6 21%
Researcher 5 18%
Professor 3 11%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 25%
Medicine and Dentistry 5 18%
Social Sciences 4 14%
Biochemistry, Genetics and Molecular Biology 2 7%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 May 2018.
All research outputs
#3,622,206
of 25,374,647 outputs
Outputs from Orphanet Journal of Rare Diseases
#523
of 3,105 outputs
Outputs of similar age
#41,460
of 322,865 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#7
of 40 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,105 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 82% 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 322,865 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 86% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.