Evidence map›Paper›PMID 26833828›Full record

ArticleAdvanced healthcare materials2016

Particles for Local Delivery of Proteins Using Intra-Articular Route.

Khosrow Khodabandehlou, Shaomin Tian, James C Luft, Saad A Khan, Joseph M DeSimone

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 1 country.

Khosrow KhodabandehlouDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA.
Shaomin TianDepartment of Chemistryand Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
James C LuftDepartment of Chemistryand Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
Saad A KhanDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA.
Joseph M DeSimoneDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA.
North Carolina State University · USKettering University · USUNC Lineberger Comprehensive Cancer CenterUniversity of North Carolina at Chapel Hill · US

Funding

Delivery of Biological Therapeutics: Using Engineered Particles and Novel DeliverDP1CA174425 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DESIMONE, JOSEPH M. · 2012 to 2013
$1.4M
NCI NIH HHS DP1 CA174425
6 · The paper itself

Abstract

Designing a vehicle for local delivery of proteins using intra-articular route is an attractive option to minimize the adverse effects associated with systemic exposure and to maximize the efficacy. Slowly dissolving silylated microparticles are designed with specific size and shape that are capable of extending the retention time of a model protein (bovine serum albumin) in the murine knee joint. No cytotoxicity is observed for the reconstituted formulation when tested against synovial fibroblasts and RAW 264.7 macrophages.

Indexed as

AnimalsCattleFreund's AdjuvantHalf-LifeKnee JointLactic AcidMicePolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerRabbitsRAW 264.7 CellsSerum Albumin, BovineFreund's AdjuvantLactic AcidPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSerum Albumin, Bovinebovine serum albuminintra-articularjoint retentionmicroparticlessilylation

Identifiers

PMID26833828
PMCPMC4852977
OpenAlexW2270252253

What OpenQuestion holds

Textmetadata
LicenceTDM
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.