Evidence map›Paper›PMID 37272488›Full record

ArticleDrug delivery2023

Rationalized design to explore the full potential of PLGA microspheres as drug delivery systems.

Rebeca Martinez-Borrajo, Patricia Diaz-Rodriguez, Mariana Landin

Abstract read
In one paragraph

Article in Drug delivery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
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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

3 authors.

Rebeca Martinez-BorrajoDepartamento de Farmacología, Farmacia y Tecnología Farmacéutica, Grupo I + D Farma (GI-1645), Facultad de Farmacia, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Patricia Diaz-RodriguezDepartamento de Farmacología, Farmacia y Tecnología Farmacéutica, Grupo I + D Farma (GI-1645), Facultad de Farmacia, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Mariana LandinDepartamento de Farmacología, Farmacia y Tecnología Farmacéutica, Grupo I + D Farma (GI-1645), Facultad de Farmacia, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymeric microparticles are widely used as drug delivery platforms either alone or embedded in more complex structures for regenerative medicine. Emulsion-solvent evaporation is the most extensively used technique for microparticles preparation. Despite the apparent simplicity of this method, there is no general procedure for producing microparticles of predictable characteristics (particle size, size distribution, encapsulation efficiency, and drug loading). Hybrid systems such as neurofuzzy logic allow identifying relationships between inputs and outputs, expressing the generated mathematical models through rules in linguistic format. In this work, the relationships between the variables involved in the emulsion-solvent evaporation process and the quality parameters of PLGA microparticles as drug delivery systems were established. Neurofuzzy logic software was able to generate models of high predictability (> 85%) for the microspheres properties namely particle size, size distribution, encapsulation efficiency and drug loading. Moreover, the generated sets of IF-THEN rules allowed to dictate general guidelines to better select the PLGA microparticles formulation parameters. This approach would be of great interest as a starting point to set-up protocols for the development of PLGA microparticles obtained by emulsion-solvent evaporation for many applications.

Indexed as

Lactic AcidPolyglycolic AcidDrug Delivery SystemsEmulsionsMicrospheresParticle SizePolylactic Acid-Polyglycolic Acid CopolymerSolventsEmulsionsLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSolventsartificial intelligenceemulsion-solvent evaporationMachine learningmicroparticlesneurofuzzy logicPLGA

Identifiers

PMID37272488
PMCPMC10243385

What OpenQuestion holds

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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.