2022
DOI: 10.1208/s12249-021-02203-7
|View full text |Cite
|
Sign up to set email alerts
|

Simplified Model-Dependent and Model-Independent Approaches for Dissolution Profile Comparison for Oral Products: Regulatory Perspective for Generic Product Development

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 6 publications
0
6
0
Order By: Relevance
“…Although it has been reported that model-dependent approaches with a single parameter, such as those used above, can be subject to MSD analysis to establish similarities in dissolution profiles with high variability [ 11 , 15 ], the drawback was that the dissolution profiles obtained in both dissolution apparatuses of generic drugs “B” and “C” could not be compared since they were adjusted to different models compared to the reference drug “A”.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Although it has been reported that model-dependent approaches with a single parameter, such as those used above, can be subject to MSD analysis to establish similarities in dissolution profiles with high variability [ 11 , 15 ], the drawback was that the dissolution profiles obtained in both dissolution apparatuses of generic drugs “B” and “C” could not be compared since they were adjusted to different models compared to the reference drug “A”.…”
Section: Resultsmentioning
confidence: 99%
“…Subsequently, the global similarity limits were established based on the average dissolved percentages of the reference drug with a tolerance of ±10% for MD (DM10%), followed by the similarity limits, which were calculated using the global similarity limits to establish the upper limit at a 90% confidence level for the true MD. The similarity in the dissolution profiles was considered when DM was less than the DM10% limit [ 11 , 21 ]. In contrast, when the variance–covariance matrix was not symmetric (heterogeneous), the method to evaluate the similarity of the dissolution profiles was through Hotelling’s T 2 statistic (global similarity) and considering their 90% confidence intervals for each sampling time (local similarity) [ 22 ].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Mean values of continuous data were compared using an ANOVA test. Dissolution data were compared using a model-independent approach (i.e., f1 difference factor and f2 similarity factor) [ 37 ]. Mean values were compared using ANOVA (post hoc Tukey), differences were considered significant if p < 0.05.…”
Section: Methodsmentioning
confidence: 99%