Evidence map›Paper›PMID 25673985›Full record

ArticleInternational journal of nanomedicine2015

Sustained release of vancomycin from novel biodegradable nanofiber-loaded vascular prosthetic grafts: in vitro and in vivo study.

Kuo-Sheng Liu, Cheng-Hung Lee, Yi-Chuan Wang, Shih-Jung Liu

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evolution of drug-eluting biomedical implants for sustained drug delivery.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2021
    Review
  5. Article
  6. Review
  7. 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

4 authors.

Kuo-Sheng LiuDepartment of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan.
Cheng-Hung LeeDivision of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan.
Yi-Chuan WangDepartment of Mechanical Engineering, Chang Gung University, Tao-Yuan, Taiwan.
Shih-Jung LiuDepartment of Mechanical Engineering, Chang Gung University, Tao-Yuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study describes novel biodegradable, drug-eluting nanofiber-loaded vascular prosthetic grafts that provide local and sustained delivery of vancomycin to surrounding tissues. Biodegradable nanofibers were prepared by first dissolving poly(D,L)-lactide-co-glycolide and vancomycin in 1,1,1,3,3,3-hexafluoro-2-propanol. The solution was then electrospun into nanofibers onto the surface of vascular prostheses. The in vitro release rates of the pharmaceutical from the nanofiber-loaded prostheses was characterized using an elution method and a high-performance liquid chromatography assay. Experimental results indicated that the drug-eluting prosthetic grafts released high concentrations of vancomycin in vitro (well above the minimum inhibitory concentration) for more than 30 days. In addition, the in vivo release behavior of the drug-eluting grafts implanted in the subcutaneous pocket of rabbits was also documented. The drug-eluting grafts developed in this work have potential applications in assisting the treatment of vascular prosthesis infection and resisting reinfection when an infected graft is to be exchanged.

Indexed as

Blood Vessel ProsthesisDrug-Eluting StentsAnimalsAnti-Bacterial AgentsDelayed-Action PreparationsDrug CarriersIn Vitro TechniquesMicrobial Sensitivity TestsNanofibersProsthesis DesignRabbitsVancomycinAnti-Bacterial AgentsDelayed-Action PreparationsDrug CarriersVancomycindrug-eluting prosthetic graftrelease characteristicsvascular prosthesis infection

Identifiers

PMID25673985
PMCPMC4321605

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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.