Evidence map›Paper›PMID 23573278›Full record

ArticlePloS one2013

Nanoporous CREG-eluting stent attenuates in-stent neointimal formation in porcine coronary arteries.

Jie Deng, Yaling Han, Mingyu Sun, Jie Tao, Chenghui Yan, Jian Kang, Shaohua Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Jie DengDepartment of Cardiology, Institute of Cardiovascular Research of People's Liberation Army, Shenyang Northern Hospital, Shenyang, Liaoning, China.
Yaling Han
Mingyu Sun
Jie Tao
Chenghui Yan
Jian Kang
Shaohua Li
General Hospital of Shenyang Military Region · CNJohnson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe goal of this study was to evaluate the efficacy of a nanoporous CREG-eluting stent (CREGES) in inhibiting neointimal formation in a porcine coronary model.

methodsIn vitro proliferation assays were performed using isolated human endothelial and smooth muscle cells to investigate the cell-specific pharmacokinetic effects of CREG and sirolimus. We implanted CREGES, control sirolimus-eluting stents (SES) or bare metal stents (BMS) into pig coronary arteries. Histology and immunohistochemistry were performed to assess the efficacy of CREGES in inhibiting neointimal formation.

resultsCREG and sirolimus inhibited in vitro vascular smooth muscle cell proliferation to a similar degree. Interestingly, human endothelial cell proliferation was only significantly inhibited by sirolimus and was increased by CREG. CREGES attenuated neointimal formation after 4 weeks in porcine coronary model compared with BMS. No differences were found in the injury and inflammation scores among the groups. Scanning electron microscopy and CD31 staining by immunohistochemistry demonstrated an accelerated reendothelialization in the CREGES group compared with the SES or BMS control groups.

conclusionsThe current study suggests that CREGES reduces neointimal formation, promotes reendothelialization in porcine coronary stent model.

Indexed as

Drug-Eluting StentsAdsorptionAnimalsCell ProliferationCells, CulturedCoronary VesselsFemaleHumansHuman Umbilical Vein Endothelial CellsMyocytes, Smooth MuscleNeointimaPlatelet-Derived Growth FactorRepressor ProteinsSirolimusSus scrofaCREG1 protein, humanPlatelet-Derived Growth FactorRepressor ProteinsSirolimus

Identifiers

PMID23573278
PMCPMC3616099
OpenAlexW1980332147

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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.