Evidence map›Paper›PMID 30804671›Full record

ArticleInternational journal of nanomedicine2019

Anti-inflammatory drug-eluting implant model system to prevent wear particle-induced periprosthetic osteolysis.

Melissa C Rivera, Stefano Perni, Alastair Sloan, 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 24 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

4 authors at 1 institution in 1 country.

Melissa C RiveraSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK, prokopovichp@cf.ac.uk.
Stefano PerniSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK, prokopovichp@cf.ac.uk.
Alastair SloanSchool of Dentistry, Cardiff University, Heath Park, Cardiff, Wales, UK.
Polina ProkopovichSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, UK, prokopovichp@cf.ac.uk.
Cardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAseptic loosening, as a consequence of an extended inflammatory reaction induced by wear particles, has been classified as one of the most common complications of total joint replacement (TJR). Despite its high incidence, no therapeutical approach has yet been found to prevent aseptic loosening, leaving revision as only effective treatment. The local delivery of anti-inflammatory drugs to modulate wear-induced inflammation has been regarded as a potential therapeutical approach to prevent aseptic-loosening.

methodsIn this context, we developed and characterized anti-inflammatory drug-eluting TiO

resultsZeta potential measurements, thermogravimetric analysis (TGA) and drug release results suggest that dexamethasone was successfully loaded onto the TiO

conclusionDexamethasone released from amino functionalized titanium can offer the possibility of preventing asepting loosening of joint replacement devices.

Indexed as

AnimalsAnti-Inflammatory AgentsCell SurvivalDexamethasoneDrug LiberationJoint ProsthesisMacrophagesMiceNanoparticlesNitric OxideOsteolysisProsthesis FailureRAW 264.7 CellsSpectroscopy, Fourier Transform InfraredStatic ElectricityTemperatureAnti-Inflammatory AgentsDexamethasoneNitric OxideTitaniumTumor Necrosis Factor-alphaaseptic looseningdexamethasoneimplantmacrophagestitaniumTJR

Identifiers

PMID30804671
PMCPMC6371946
OpenAlexW2914193210

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.