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Scientific and Regulatory Standards for Assessing Product Performance Using the Similarity Factor, f2

Overview of attention for article published in The AAPS Journal, February 2015
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Title
Scientific and Regulatory Standards for Assessing Product Performance Using the Similarity Factor, f2
Published in
The AAPS Journal, February 2015
DOI 10.1208/s12248-015-9723-y
Pubmed ID
Authors

Ruth E. Stevens, Vivian Gray, Angelica Dorantes, Lynn Gold, Loan Pham

Abstract

The similarity factor, f2, measures the sameness of dissolution profiles. The following commentary is an overview of discussions and presentations from a group of industry and US regulatory experts that have integrated the science and regulatory research and practice for assessing product performance, particularly for modified-release (MR) dosage forms, using f2. For a drug development sponsor or applicant with an orally complex dosage formulation, it is critical to understand dissolution methods and the similarity factor and how and/or when to apply it in their NDA, ANDA, or PMA submission. As part of any regulatory submission, it is critical to justify that the product performance has not been impacted by any change in the manufacturing process and/or the delayed and/or prolonged drug release characteristics compared to a similar conventional or another orally complex dosage form. The purposes of this document are (1) to provide a description of appropriate dissolution methods, how is the f2 calculated and how it can be used to justify product performance similarity, or not; (2) to provide an overview of alternative methods available for dissolution profile comparisons, and (3) to illustrate how applying these concepts in a focused way supports approval of submissions and regulatory dossiers and aligns them with on-going science and regulatory initiatives. A case study will be used as an example to demonstrate how dissolution testing and the f2 calculation results can impact regulatory outcomes from an NDA (505(b)(1)), NDA (505(b)(2)), ANDA (505(j)), supplemental NDAs/ANDAs, or PMA perspective.

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Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Other 13 16%
Student > Ph. D. Student 9 11%
Student > Master 8 10%
Student > Bachelor 4 5%
Other 8 10%
Unknown 20 24%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 30 37%
Chemistry 6 7%
Engineering 6 7%
Chemical Engineering 4 5%
Medicine and Dentistry 3 4%
Other 7 9%
Unknown 26 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 February 2015.
All research outputs
#18,401,176
of 22,792,160 outputs
Outputs from The AAPS Journal
#1,100
of 1,287 outputs
Outputs of similar age
#260,971
of 357,845 outputs
Outputs of similar age from The AAPS Journal
#20
of 28 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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