Evidence map›Paper›PMID 31989343›Full record

ArticleThe AAPS journal2020

Selection of In Vivo Predictive Dissolution Media Using Drug Substance and Physiological Properties.

Deanna M Mudie, Nasim Samiei, Derrick J Marshall, Gregory E Amidon, Christel A S Bergström

Open access · hybridAbstract read
In one paragraph

Article in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 72 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 4 institutions in 2 countries.

Deanna M MudieGlobal Research and Development, Lonza, Bend, Oregon, 97703, USA. deanna.mudie@lonza.com.ORCID http://orcid.org/0000-0002-3586-5069
Nasim SamieiDepartment of Pharmacy, Uppsala Biomedical Centre, Uppsala University, P.O. Box 580, SE-751 23, Uppsala, Sweden.
Derrick J MarshallGlobal Research and Development, Lonza, Bend, Oregon, 97703, USA.
Gregory E AmidonCollege of Pharmacy, Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan, 48103, USA.
Christel A S BergströmDepartment of Pharmacy, Uppsala Biomedical Centre, Uppsala University, P.O. Box 580, SE-751 23, Uppsala, Sweden.
Uppsala University · SEBiogen (United States) · USLonza (United States) · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate and extent of drug dissolution in the gastrointestinal (GI) tract are highly dependent upon drug physicochemical properties and GI fluid properties. Biorelevant dissolution media (BDM), which aim to facilitate in vitro prediction of in vivo dissolution performance, have evolved with our understanding of GI physiology. However, BDM with a variety of properties and compositions are available, making the choice of dissolution medium challenging. In this tutorial, we describe a simple and quantitative methodology for selecting practical, yet physiologically relevant BDM representative of fasted humans for evaluating dissolution of immediate release formulations. Specifically, this methodology describes selection of pH, buffer species, and concentration and evaluates the importance of including bile salts and phospholipids in the BDM based upon drug substance log D, pK

Indexed as

Bile Acids and SaltsBuffersDrug CompoundingFastingGastric JuiceHumansHydrogen-Ion ConcentrationIntestinal SecretionsPharmaceutical PreparationsPhospholipidsSolubilitySurface PropertiesBile Acids and SaltsBuffersPharmaceutical PreparationsPhospholipidsbicarbonatebiorelevantbufferdissolutionsolubility

Identifiers

PMID31989343
PMCPMC6985051
OpenAlexW3003356479

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.