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Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials

Overview of attention for article published in Orphanet Journal of Rare Diseases, May 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

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7 tweeters

Citations

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16 Dimensions

Readers on

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30 Mendeley
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Title
Lessons learned from IDeAl — 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials
Published in
Orphanet Journal of Rare Diseases, May 2018
DOI 10.1186/s13023-018-0820-8
Pubmed ID
Authors

Ralf-Dieter Hilgers, Malgorzata Bogdan, Carl-Fredrik Burman, Holger Dette, Mats Karlsson, Franz König, Christoph Male, France Mentré, Geert Molenberghs, Stephen Senn

Abstract

IDeAl (Integrated designs and analysis of small population clinical trials) is an EU funded project developing new statistical design and analysis methodologies for clinical trials in small population groups. Here we provide an overview of IDeAl findings and give recommendations to applied researchers. The description of the findings is broken down by the nine scientific IDeAl work packages and summarizes results from the project's more than 60 publications to date in peer reviewed journals. In addition, we applied text mining to evaluate the publications and the IDeAl work packages' output in relation to the design and analysis terms derived from in the IRDiRC task force report on small population clinical trials. The results are summarized, describing the developments from an applied viewpoint. The main result presented here are 33 practical recommendations drawn from the work, giving researchers a comprehensive guidance to the improved methodology. In particular, the findings will help design and analyse efficient clinical trials in rare diseases with limited number of patients available. We developed a network representation relating the hot topics developed by the IRDiRC task force on small population clinical trials to IDeAl's work as well as relating important methodologies by IDeAl's definition necessary to consider in design and analysis of small-population clinical trials. These network representation establish a new perspective on design and analysis of small-population clinical trials. IDeAl has provided a huge number of options to refine the statistical methodology for small-population clinical trials from various perspectives. A total of 33 recommendations developed and related to the work packages help the researcher to design small population clinical trial. The route to improvements is displayed in IDeAl-network representing important statistical methodological skills necessary to design and analysis of small-population clinical trials. The methods are ready for use.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Other 3 10%
Student > Bachelor 2 7%
Researcher 2 7%
Other 7 23%
Unknown 8 27%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Agricultural and Biological Sciences 4 13%
Mathematics 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 2 7%
Other 5 17%
Unknown 9 30%

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 21 March 2022.
All research outputs
#5,792,154
of 21,377,679 outputs
Outputs from Orphanet Journal of Rare Diseases
#754
of 2,397 outputs
Outputs of similar age
#99,672
of 299,761 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#1
of 1 outputs
Altmetric has tracked 21,377,679 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,397 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 gotten more attention than average, scoring higher than 68% 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 299,761 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 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them