Unveiling the Potential of Cmax f2 Factor Applied to Pilot Bioavailability/Bioequivalence Studies—A Case Study with Pazopanib Drug Products
<b>Background:</b> When companies are uncertain about the potential of a new formulation to be bioequivalent to a Reference product, it is common practice to carry out downsized pilot studies as a gatekeeping in vivo strategy to decide whether to move forward or not with a full-size pivotal study. However, due to the small study size, these studies are inarguably more sensitive to variability. <b>Objectives:</b> To address and mitigate the uncertainty of the conclusions of pilot studies concerning the maximum observed concentration (C<sub>max</sub>), the <i>f</i><sub>2</sub> factor was proposed as an alternative approach to the average bioequivalence statistical methodology. <b>Methods:</b> In this work, the alternative methodology is applied to pharmacokinetic data from pilot bioequivalence trials performed with pazopanib 200 mg and 400 mg. <b>Results:</b> Despite the small sample size, and very high intra-subject variability, the <i>f</i><sub>2</sub> factor demonstrated the potential for predicting bioequivalence. The positive results were confirmed in the full sized pivotal studies. <b>Conclusions:</b> In conclusion, this alternate methodology shows promise in reducing uncertainty associated with pilot studies and aiding in decisions to go forward with pivotal bioequivalence studies.
Authors
- Francisco Pimentel (ORCID: https://orcid.org/0000-0001-5993-5132)
- Luís Almeida (ORCID: https://orcid.org/0000-0002-4861-8649)
- Marlene Fonseca (ORCID: https://orcid.org/0009-0000-5828-8535)
- Sara Carolina Henriques (ORCID: https://orcid.org/0000-0001-9649-4823)
- Ana Leblanc (ORCID: https://orcid.org/0000-0002-0446-8239)
- Sérgio Simões (ORCID: https://orcid.org/0000-0002-8898-7625)
- Nuno Silva (ORCID: https://orcid.org/0000-0002-9478-0110)
Institutions
- University of Lisbon (PT)
- Universidade do Porto (PT)
- University of Coimbra (PT)
Publication Details
- Journal
- Pharmaceutics
- Published
- 2024-12-11
- DOI
- https://doi.org/10.3390/pharmaceutics16121579
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00