Evidence map›Paper›PMID 31571855›Full record

ArticleInternational journal of nanomedicine2019

Nanoparticle-based model of anti-inflammatory drug releasing LbL coatings for uncemented prosthesis aseptic loosening prevention.

Hadil Faris Alotaibi, Stefano Perni, Polina Prokopovich

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 14 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

3 authors at 1 institution in 1 country.

Hadil Faris AlotaibiSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK.
Stefano PerniSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK.
Polina ProkopovichSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK.ORCID 0000-0002-5700-9570
Cardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe only treatment for aseptic loosening is the replacement of the prosthesis through revision surgery. A preventive approach, achieved through anti-inflammatory drugs released from the device, has shown to be a viable strategy; however, the performance of these devices is not yet satisfactory thus further improvements are necessary.

methodsWe used titanium nanoparticles as a model for implant surfaces and developed a coating containing dexamethasone (DEX) using layer-by-layer deposition.

resultsThe amount of deposited drug depended on the number of layers and the release was sustained for months. The efficiency of the released DEX in reducing inflammation markers (tumor necrosis factor alpha and IL-6) produced by human monocytes and macrophages was similar to the pure drug at the same concentration without negative impacts on the viability and morphology of these cells.

conclusionThese coatings were not inferior to medical grade titanium (the standard material used in uncemented devices) regarding their ability to sustain osteoblasts and fibroblasts growth.

Indexed as

Drug LiberationProsthesis FailureAnti-Inflammatory AgentsBone CementsCell LineCell ShapeCoated Materials, BiocompatibleDexamethasoneFibroblastsHumansInterleukin-6LipopolysaccharidesMacrophage ActivationMitochondriaMonocytesNanoparticlesAnti-Inflammatory AgentsBone CementsCoated Materials, BiocompatibleDexamethasoneInterleukin-6Lipopolysaccharidesaseptic looseningcementless prosthesisdexamethasonetitanium

Identifiers

PMID31571855
PMCPMC6750844
OpenAlexW2972189998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.