Evidence map›Paper›PMID 31493266›Full record

ReviewPharmaceutical research2019

Benefits of Fractal Approaches in Solid Dosage Form Development.

Renata Abreu-Villela, Martin Kuentz, Isidoro Caraballo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Renata Abreu-VillelaDepartment of Pharmacy and Pharmaceutical Technology, Facultad de Farmacia, Universidad de Sevilla, C/Profesor García González 2, 41012, Seville, Spain.
Martin KuentzInstitute of Pharma Technology, University of Applied Sciences and Arts Northwestern Switzerland, Hofackestrasse 30, 4132, Muttenz, Switzerland.
Isidoro CaraballoDepartment of Pharmacy and Pharmaceutical Technology, Facultad de Farmacia, Universidad de Sevilla, C/Profesor García González 2, 41012, Seville, Spain. caraballo@us.es.ORCID http://orcid.org/0000-0003-1905-7755

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España MAT2016-77345-C3-3-PMinistry of Education of Brazil (CAPES) 99999.001486
6 · The paper itself

Abstract

Pharmaceutical formulations are complex systems consisting of active pharmaceutical ingredient(s) and a number of excipients selected to provide the intended performance of the product. The understanding of materials' properties and technological processes is a requirement for building quality into pharmaceutical products. Such understanding is gained mostly from empirical correlations of material and process factors with quality attributes of the final product. However, it seems also important to gain knowledge based on mechanistic considerations. Promising is here to study morphological and/or topological characteristics of particles and their aggregates. These geometric aspects must be taken into account to better understand how product attributes emerge from raw materials, which includes, for example, mechanical tablet properties, disintegration or dissolution behavior. Regulatory agencies worldwide are promoting the use of physical models in pharmaceutics to design quality into a final product. This review deals with pharmaceutical applications of theoretical models, focusing on percolation theory, fractal, and multifractal geometry. The use of these so-called fractal approaches improves the understanding of different aspects in the development of solid dosage forms, for example by identifying critical drug and excipient concentrations, as well as to study effects of heterogeneity on dosage form performance. The aim is to link micro- and macrostructure to the emerging quality attributes of the pharmaceutical solid dosage forms as a strategy to enhance mechanistic understanding and to advance pharmaceutical development and manufacturing processes.

Indexed as

Drug CompoundingFractalsDosage FormsExcipientsHumansTabletsDosage FormsExcipientsTabletsfractal geometryfractal-like kineticsgeometric distributionpercolation theorysolid dosage forms

Identifiers

What OpenQuestion holds

Textmetadata
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.