ReviewThe AAPS journal2025
Commentary and Review on Prospective Prediction of Bioequivalence of Oral Dosage Forms using Compendial Dissolution Testing and PBPK Modeling.
Review in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- In vivo Predictive Dissolution Test Using Biorelevant Bicarbonate Buffer for High-dose Free Acid Drug.The AAPS journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A virtual bioequivalence (VBE) approach utilizing physiologically based pharmacokinetic (PBPK) modeling presents a compelling alternative for pharmaceutical industries. This method can significantly reduce the time and cost associated with clinical bioequivalence (BE) trials while minimizing the risk of detecting a type II error (a false negative), as well as a type I error (a false positive). Additionally, it aligns with ethical considerations by obviating the need to expose healthy volunteers to investigational drugs. To secure a biowaiver through the VBE approach, it is essential to translate compendial in vitro dissolution data into pharmacokinetic (PK) parameters using PBPK modeling to evaluate BE. This article reflects three concepts: compendial dissolution test, PBPK modeling, and BE, reviewing their historical development and current research. It highlights the gaps and challenges and discusses potential future opportunities to strengthen clear linkage among three concepts. A deeper understanding of the mechanisms and mathematical translation of dosage form disintegration and API particle dissolution can enhance the prediction of dosage form performance in both in vivo and in vitro settings. Future advancement of PBPK modeling should incorporate these developments to improve confidence in correlating compendial dissolution data with quantitative risk assessments of BE outcomes.
Indexed as
Identifiers
40903672What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.