Evidence map›Paper›PMID 36839914›Full record

ReviewPharmaceutics2023

Commercially Available Cell-Free Permeability Tests for Industrial Drug Development: Increased Sustainability through Reduction of In Vivo Studies.

Ann-Christin Jacobsen, Sonja Visentin, Cosmin Butnarasu, Paul C Stein, Massimiliano Pio di Cagno

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
9.7field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 42 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Ann-Christin JacobsenDepartment of Physics, Chemistry and Pharmacy, University of Southern Denmark, 5230 Odense, Denmark.
Sonja VisentinDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10124 Turin, Italy.
Cosmin ButnarasuDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10124 Turin, Italy.ORCID 0000-0001-8620-3391
Paul C SteinDepartment of Physics, Chemistry and Pharmacy, University of Southern Denmark, 5230 Odense, Denmark.ORCID 0000-0002-7723-1419
Massimiliano Pio di CagnoDepartment of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Sem Sælands Vei 3, 0371 Oslo, Norway.ORCID 0000-0003-2179-6792
University of Southern Denmark · DKUniversity of Turin · ITUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Replacing in vivo with in vitro studies can increase sustainability in the development of medicines. This principle has already been applied in the biowaiver approach based on the biopharmaceutical classification system, BCS. A biowaiver is a regulatory process in which a drug is approved based on evidence of in vitro equivalence, i.e., a dissolution test, rather than on in vivo bioequivalence. Currently biowaivers can only be granted for highly water-soluble drugs, i.e., BCS class I/III drugs. When evaluating poorly soluble drugs, i.e., BCS class II/IV drugs, in vitro dissolution testing has proved to be inadequate for predicting in vivo drug performance due to the lack of permeability interpretation. The aim of this review was to provide solid proofs that at least two commercially available cell-free in vitro assays, namely, the parallel artificial membrane permeability assay, PAMPA, and the PermeaPad

Indexed as

biowaiverdissolution-permeationin vitro AUCPAMPApermeabilityPermeaPad®unstirred water layer

Identifiers

PMID36839914
PMCPMC9964961
OpenAlexW4319972409

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.