Evidence map›Paper›PMID 33673306›Full record

ArticlePharmaceutics2021

In Vitro-In Vivo Correlation (IVIVC) Population Modeling for the In Silico Bioequivalence of a Long-Acting Release Formulation of Progesterone.

Elena M Tosca, Maurizio Rocchetti, Elena Pérez, Conchi Nieto, Paolo Bettica, Jaime Moscoso Del Prado, Paolo Magni, Giuseppe De Nicolao

Abstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elena M ToscaDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, I-27100 Pavia, Italy.ORCID 0000-0002-9801-2135
Maurizio RocchettiConsultant, I-20100 Milano, Italy.
Elena PérezITF Research Pharma SLU, San Rafael 3, 28108 Alcobendas, Spain.
Conchi NietoITF Research Pharma SLU, San Rafael 3, 28108 Alcobendas, Spain.
Paolo BetticaItalfarmaco S.p.A., Via dei Lavoratori, 54, 20092 Cinisello Balsamo, Italy.ORCID 0000-0003-2677-3397
Jaime Moscoso Del PradoITF Research Pharma SLU, San Rafael 3, 28108 Alcobendas, Spain.
Paolo MagniDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, I-27100 Pavia, Italy.ORCID 0000-0002-8931-4676
Giuseppe De NicolaoDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, I-27100 Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health authorities carefully evaluate any change in the batch manufacturing process of a drug before and after regulatory approval. In the absence of an adequate in vitro-in vivo correlation (Level A IVIVC), an in vivo bioequivalence (BE) study is frequently required, increasing the cost and time of drug development. This study focused on developing a Level A IVIVC for progesterone vaginal rings (PVRs), a dosage form designed for the continuous delivery in vivo. The pharmacokinetics (PK) of four batches of rings charged with 125, 375, 750 and 1500 mg of progesterone and characterized by different in vitro release rates were evaluated in two clinical studies. In vivo serum concentrations and in vitro release profiles were used to develop a population IVIVC progesterone ring (P-ring) model through a direct differential-equation-based method and a nonlinear-mixed-effect approach. The in vivo release, Rvivo(t), was predicted from the in vitro profile through a nonlinear relationship. Rvivo(t) was used as the input of a compartmental PK model describing the in vivo serum concentration dynamics of progesterone. The proposed IVIVC P-ring model was able to correctly predict the in vivo concentration-time profiles of progesterone starting from the in vitro PVR release profiles. Its internal and external predictability was carefully evaluated considering the FDA acceptance criteria for IVIVC assessment of extended-release oral drugs. Obtained results justified the use of the in vitro release testing in lieu of clinical studies for the BE assessment of any new PVRs batches. Finally, the possible use of the developed population IVIVC model as a simulator of virtual BE trials was explored through a case study.

Indexed as

bioequivalencein vitro–in vivo correlationlog-acting releaseprogesteronevaginal rings

Identifiers

PMID33673306
PMCPMC7918143

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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.