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Benefits, challenges and obstacles of adaptive clinical trial designs

Overview of attention for article published in Orphanet Journal of Rare Diseases, November 2011
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
1 X user

Citations

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53 Dimensions

Readers on

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104 Mendeley
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Title
Benefits, challenges and obstacles of adaptive clinical trial designs
Published in
Orphanet Journal of Rare Diseases, November 2011
DOI 10.1186/1750-1172-6-79
Pubmed ID
Authors

Shein-Chung Chow, Ralph Corey

Abstract

In recent years, the use of adaptive design methods in pharmaceutical/clinical research and development has become popular due to its flexibility and efficiency for identifying potential signals of clinical benefit of the test treatment under investigation. The flexibility and efficiency, however, increase the risk of operational biases with resulting decrease in the accuracy and reliability for assessing the treatment effect of the test treatment under investigation. In its recent draft guidance, the United States Food and Drug Administration (FDA) expresses regulatory concern of controlling the overall type I error rate at a pre-specified level of significance for a clinical trial utilizing adaptive design. The FDA classifies adaptive designs into categories of well-understood and less well-understood designs. For those less well-understood adaptive designs such as adaptive dose finding designs and two-stage phase I/II (or phase II/III) seamless adaptive designs, statistical methods are not well established and hence should be used with caution. In practice, misuse of adaptive design methods in clinical trials is a concern to both clinical scientists and regulatory agencies. It is suggested that the escalating momentum for the use of adaptive design methods in clinical trials be slowed in order to allow time for development of appropriate statistical methodologies.

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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Norway 1 <1%
India 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 99 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 17 16%
Student > Master 16 15%
Other 9 9%
Student > Bachelor 8 8%
Other 20 19%
Unknown 15 14%
Readers by discipline Count As %
Medicine and Dentistry 34 33%
Agricultural and Biological Sciences 10 10%
Pharmacology, Toxicology and Pharmaceutical Science 9 9%
Mathematics 8 8%
Chemistry 5 5%
Other 19 18%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 16 February 2023.
All research outputs
#2,800,242
of 25,654,806 outputs
Outputs from Orphanet Journal of Rare Diseases
#363
of 3,163 outputs
Outputs of similar age
#19,919
of 247,219 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#5
of 22 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,163 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 88% 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 247,219 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.