Evidence map›Paper›PMID 26384667›Full record

ReviewAnnals of biomedical engineering2016

Modelling the Impact of Atherosclerosis on Drug Release and Distribution from Coronary Stents.

C M McKittrick, S Kennedy, K G Oldroyd, S McGinty, C McCormick

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2016. 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. 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

5 authors.

C M McKittrickDepartment of Biomedical Engineering, University of Strathclyde, Glasgow, UK.
S KennedyInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
K G OldroydWest of Scotland Region Heart and Lung Centre, Golden Jubilee National Hospital, Dunbartonshire, UK.
S McGintyDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
C McCormickDepartment of Biomedical Engineering, University of Strathclyde, Glasgow, UK. christopher.mccormick@strath.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although drug-eluting stents (DES) are now widely used for the treatment of coronary heart disease, there remains considerable scope for the development of enhanced designs which address some of the limitations of existing devices. The drug release profile is a key element governing the overall performance of DES. The use of in vitro, in vivo, ex vivo, in silico and mathematical models has enhanced understanding of the factors which govern drug uptake and distribution from DES. Such work has identified the physical phenomena determining the transport of drug from the stent and through tissue, and has highlighted the importance of stent coatings and drug physical properties to this process. However, there is limited information regarding the precise role that the atherosclerotic lesion has in determining the uptake and distribution of drug. In this review, we start by discussing the various models that have been used in this research area, highlighting the different types of information they can provide. We then go on to describe more recent methods that incorporate the impact of atherosclerotic lesions.

Indexed as

Coronary Artery DiseaseCoronary VesselsDrug-Eluting StentsModels, CardiovascularPharmacokineticsAnimalsHumansArteriesAtherosclerosisComputational modelsDrug distributionDrug-eluting stentsDrug transportDrug uptakeIn vitro modelsIn vivo modelsMathematical models

Identifiers

PMID26384667
PMCPMC4764635

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Registered trials

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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.