Evidence map›Paper›PMID 31828534›Full record

ArticleDrug delivery and translational research2020

Experiments and modeling of controlled release behavior of commercial and model polymer-drug formulations using dialysis membrane method.

Alok Ranjan, Prateek K Jha

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Article in Drug delivery and translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Preparation, Physicochemical Properties, and Structural Characterization of Resistant Starch-Aspirin-Loaded Microspheres.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
4 · The record

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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

2 authors.

Alok RanjanDepartment of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
Prateek K JhaDepartment of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India. pkjchfch@iitr.ac.in.ORCID 0000-0001-9844-2875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standard dissolution testing methods typically do not correlate strongly with the in vivo drug release behavior for the oral delivery products, since they only focus on the drug dissolution in the gastric/intestinal fluid and do not account for the intestinal absorption of drug. Artificial gastrointestinal systems attempt to bridge this gap by using dialysis membranes as a proxy for the intestinal membranes. We present a systematic proof-of-concept study of how the drug dissolution and drug absorption are mimicked in such systems for the case of polymer-drug formulations. We utilize a modified version of the conventional shaking-flask test, in which the drug formulation is placed inside a dialysis bag. Dissolution experiments are performed on a commercial aspirin formulation and model formulations of aspirin with varying amounts of poly-methyl-methacrylate-co-methacrylic acid (PMA-MAA), both for conventional and modified shaking-flask test. Results are successfully interpreted using a simple model that assumes first-order kinetics for both the drug release from the formulation and drug permeation through the membrane. The differences between the model and commercial formulations and the effects of shaking speed and drug loading are established by comparison of the first-order rate constants. Finally, comparison with a reported in vivo study demonstrates how the modified shaking-flask setup can be used to improve the in vitro in vivo correlation. Graphical abstract.

Indexed as

Administration, OralAspirinDelayed-Action PreparationsDrug CompoundingDrug LiberationIntestinal AbsorptionMembranes, ArtificialModels, TheoreticalPolymethacrylic AcidsPolymethyl MethacrylateProof of Concept StudyRenal DialysisAspirinDelayed-Action PreparationsMembranes, ArtificialPolymethacrylic AcidsPolymethyl MethacrylateControlled releaseDialysis bagDiffusionDissolution testingMass transfer effectsPolymer matrix

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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.