Evidence map›Paper›PMID 35300307›Full record

ArticleADMET & DMPK2020

Dissolution of an ensemble of differently shaped poly-dispersed drug particles undergoing solubility reduction: mathematical modelling.

Michela Abrami, Lucia Grassi, Rosario di Vittorio, Dritan Hasa, Beatrice Perissutti, Dario Voinovich, Gabriele Grassi, Italo Colombo, Mario Grassi

Abstract read
In one paragraph

Article in ADMET & DMPK, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Michela AbramiDept. of Engineering and Architecture, Trieste University, Via Alfonso Valerio, 6/A, Trieste, I-34127 Italy.
Lucia GrassiLiceo Scientifico G. Galilei, Trieste, Via Mameli 4, I-34139 Italy.
Rosario di VittorioDept. of Engineering and Architecture, Trieste University, Via Alfonso Valerio, 6/A, Trieste, I-34127 Italy.
Dritan HasaDept. of Chemical and Pharmaceutical Sciences, Trieste University, Piazzale Europa 1, Trieste, I-34127, Italy.
Beatrice PerissuttiDept. of Chemical and Pharmaceutical Sciences, Trieste University, Piazzale Europa 1, Trieste, I-34127, Italy.
Dario VoinovichDept. of Chemical and Pharmaceutical Sciences, Trieste University, Piazzale Europa 1, Trieste, I-34127, Italy.
Gabriele GrassiDept. of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, Trieste, I-34149 Italy.
Italo ColomboDept. of Engineering and Architecture, Trieste University, Via Alfonso Valerio, 6/A, Trieste, I-34127 Italy.
Mario GrassiDept. of Engineering and Architecture, Trieste University, Via Alfonso Valerio, 6/A, Trieste, I-34127 Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this theoretical paper is to develop a mathematical model for describing the dissolution process, in a finite liquid environment, of an ensemble of poly-dispersed drug particles, in form of sphere, cylinder and parallelepiped that can undergo solubility reduction due to phase transition induced by dissolution. The main result of this work consists in its simplicity as, whatever the particular particles size distribution, only two ordinary differential equations are needed to describe the dissolution process. This, in turn, reflects in a very powerful and agile theoretical tool that can be easily implemented in electronic sheets, a widespread tool among the research community. Another model advantage lies on the possibility of determining its parameters by means of common independent techniques thus enabling the evaluation of the importance of solid wettability on the dissolution process.

Indexed as

bioavailabilitydissolutionmathematical modellingparticlespoly-dispersionRecrystallization

Identifiers

PMID35300307
PMCPMC8915606

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Registered trials

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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.