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Record W1963834897 · doi:10.1177/0883911505051661

Evaluation of the In Vitro Drug Release from Resorbable Biocompatible Coatings for Vascular Stents

2005· article· en· W1963834897 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Bioactive and Compatible Polymers · 2005
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolymerMaterials scienceCoatingDifferential scanning calorimetryChemical engineeringBiodegradable polymerPLGABiomedical engineeringComposite materialNanotechnologyNanoparticle

Abstract

fetched live from OpenAlex

The objective of this work was to prepare a biocompatible and degradable polymer coating for vascular stents that would release a restenosis inhibitor for a sustained period of time. To do so, two film processing techniques were compared using poly(lactic acid) (PLA) and poly(lactic-co-glycolic acid) (PLAGA) polymers as well as the effect of the polymer composition, film thickness and drug loading on the in vitrorelease of dexamethasone from a stent model. Stainless steel square plates (SSSP) were either dipor spraycoated with different polymer proportions of PLA of two different molecular weights (25,000 and 120,000) and PLAGA with a molecular weight of 48,000 with specific drug content and film thickness. The release study was carried out over four months by placing the coated SSSP in a phosphate buffer solution (PBS) pH 7.4. The surface topography of the coated stents was investigated throughout the study by atomic force microscopy (AFM) and differential scanning calorimetry (DSC). Analyses were performed on samples before and after the release study. Dip coating produced a much slower release profile than the spray-coated films. None of the dip-coated SSSP samples achieved a β 50% release in 100 days while most of the spray-coated films released 100% of their load in β 120 days. The polymer composition affected the release profile with the dip-coated film with blended homopolymer films releasing more drug than films composed entirely of one homopolymer; however, this difference was not seen with the spray coated films. Drug loading and film thickness did not show a difference in drug release with the spray-coated films. DSC and AFM results showed progression, with time, in the polymer film degradation and erosion. This study demonstrated that it is feasible to coat a stent model with a biocompatible material and that this coating can release a restenosis inhibitor over time. The release from the biocompatible matrix can be modified by using different processing techniques and the release can be engineered to a desired release profile by blending different molecular weight homopolymers in dip-coated films. On the other hand, spray coating with different molecular weight fractions of the same homopolymer did not produce significant release profiles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.302
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it