Evidence map›Paper›PMID 26083626›Full record

ArticlePloS one2015

Optimization of Drug Delivery by Drug-Eluting Stents.

Franz Bozsak, David Gonzalez-Rodriguez, Zachary Sternberger, Paul Belitz, Thomas Bewley, Jean-Marc Chomaz, Abdul I Barakat

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Advancements in Coronary Bifurcation Stenting Techniques: Insights From Computational and Bench Testing Studies.International journal for numerical methods in biomedical engineering · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Drug-Eluting Stents: Technical and Clinical Progress.Biomimetics (Basel, Switzerland) · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

7 authors at 1 institution in 1 country.

Franz BozsakLaboratoire d'Hydrodynamique (LadHyX), École Polytechnique-CNRS, Palaiseau cedex, France.
David Gonzalez-RodriguezLaboratoire d'Hydrodynamique (LadHyX), École Polytechnique-CNRS, Palaiseau cedex, France.
Zachary SternbergerLaboratoire d'Hydrodynamique (LadHyX), École Polytechnique-CNRS, Palaiseau cedex, France.
Paul BelitzUCSD Flow Control and Coordinated Robotics Labs Dept of MAE, UC San Diego, La Jolla, CA, USA.
Thomas BewleyUCSD Flow Control and Coordinated Robotics Labs Dept of MAE, UC San Diego, La Jolla, CA, USA.
Jean-Marc ChomazLaboratoire d'Hydrodynamique (LadHyX), École Polytechnique-CNRS, Palaiseau cedex, France.
Abdul I BarakatLaboratoire d'Hydrodynamique (LadHyX), École Polytechnique-CNRS, Palaiseau cedex, France.
University of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-eluting stents (DES), which release anti-proliferative drugs into the arterial wall in a controlled manner, have drastically reduced the rate of in-stent restenosis and revolutionized the treatment of atherosclerosis. However, late stent thrombosis remains a safety concern in DES, mainly due to delayed healing of the endothelial wound inflicted during DES implantation. We present a framework to optimize DES design such that restenosis is inhibited without affecting the endothelial healing process. To this end, we have developed a computational model of fluid flow and drug transport in stented arteries and have used this model to establish a metric for quantifying DES performance. The model takes into account the multi-layered structure of the arterial wall and incorporates a reversible binding model to describe drug interaction with the cells of the arterial wall. The model is coupled to a novel optimization algorithm that allows identification of optimal DES designs. We show that optimizing the period of drug release from DES and the initial drug concentration within the coating has a drastic effect on DES performance. Paclitaxel-eluting stents perform optimally by releasing their drug either very rapidly (within a few hours) or very slowly (over periods of several months up to one year) at concentrations considerably lower than current DES. In contrast, sirolimus-eluting stents perform optimally only when drug release is slow. The results offer explanations for recent trends in the development of DES and demonstrate the potential for large improvements in DES design relative to the current state of commercial devices.

Indexed as

Drug-Eluting StentsAlgorithmsAtherosclerosisBiological TransportConstriction, PathologicDrug Delivery SystemsEndothelium, VascularModels, BiologicalPaclitaxelProsthesis DesignTunica MediaWound HealingPaclitaxel

Identifiers

PMID26083626
PMCPMC4470631
OpenAlexW1505921459

What OpenQuestion holds

Textmetadata
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.