Detailed Information on Publication Record
2021
A Critical Overview of FDA and EMA Statistical Methods to Compare In Vitro Drug Dissolution Profiles of Pharmaceutical Products
MUSELÍK, Jan, A. KOMERSOVA, Kateřina KUBOVÁ, K. MATZICK, B. SKALICKA et. al.Basic information
Original name
A Critical Overview of FDA and EMA Statistical Methods to Compare In Vitro Drug Dissolution Profiles of Pharmaceutical Products
Authors
MUSELÍK, Jan (203 Czech Republic, belonging to the institution), A. KOMERSOVA (guarantor), Kateřina KUBOVÁ (203 Czech Republic, belonging to the institution), K. MATZICK and B. SKALICKA
Edition
Pharmaceutics, BASEL, MDPI, 2021, 1999-4923
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30104 Pharmacology and pharmacy
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 6.525
RIV identification code
RIV/00216224:14160/21:00119760
Organization unit
Faculty of Pharmacy
UT WoS
000714524900001
Keywords in English
drug dissolution; dissolution profile comparison; EMA and FDA strategy
Tags
International impact, Reviewed
Změněno: 14/4/2022 15:25, JUDr. Sabina Krejčiříková
Abstract
V originále
A drug dissolution profile is one of the most critical dosage form characteristics with immediate and controlled drug release. Comparing the dissolution profiles of different pharmaceutical products plays a key role before starting the bioequivalence or stability studies. General recommendations for dissolution profile comparison are mentioned by the EMA and FDA guidelines. However, neither the EMA nor the FDA provides unambiguous instructions for comparing the dissolution curves, except for calculating the similarity factor f(2). In agreement with the EMA and FDA strategy for comparing the dissolution profiles, this manuscript provides an overview of suitable statistical methods (CI derivation for f(2) based on bootstrap, CI derivation for the difference between reference and test samples, Mahalanobis distance, model-dependent approach and maximum deviation method), their procedures and limitations. However, usage of statistical approaches for the above-described methods can be met with difficulties, especially when combined with the requirement of practice for robust and straightforward techniques for data evaluation. Therefore, the bootstrap to derive the CI for f(2) or CI derivation for the difference between reference and test samples was selected as the method of choice.
Links
MUNI/A/1574/2020, interní kód MU |
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QK1810221, research and development project |
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