Evidence map›Paper›PMID 33393217›Full record

ArticleMacromolecular bioscience2021

Development and Characterization of PLGA-Based Multistage Delivery System for Enhanced Payload Delivery to Targeted Vascular Endothelium.

Jorge A Palma-Chavez, Kevin Fuentes, Brian E Applegate, Javier A Jo, Phapanin Charoenphol

Abstract read
In one paragraph

Article in Macromolecular bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. The role of gasotransmitters in Parkinson's disease: Interplay of nitric oxide, carbon monoxide, and hydrogen sulfide.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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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

5 authors.

Jorge A Palma-ChavezDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Kevin FuentesDepartment of Mechanical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Brian E ApplegateProf. B. E. Applegate, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Javier A JoSchool of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, 73019, USA.
Phapanin CharoenpholDepartment of Mechanical Engineering, Texas A&M University, College Station, TX, 77843, USA.ORCID 0000-0003-1328-9344

Funding

Endogenous fluorescence lifetime endoscopy for early detection of oral cancer and dysplasiaR01CA218739 · NCI · UNIVERSITY OF OKLAHOMA · PI JO, JAVIER ANTONIO · 2018 to 2023
$2.5M
American Heart Association-American Stroke Association 17SDG33660894NCI NIH HHS R01 CA218739
6 · The paper itself

Abstract

Vascular-targeted drug delivery remains an attractive platform for therapeutic and diagnostic interventions in human diseases. This work focuses on the development of a poly-lactic-co-glycolic-acid (PLGA)-based multistage delivery system (MDS). MDS consists of two stages: a micron-sized PLGA outer shell and encapsulated drug-loaded PLGA nanoparticles. Nanoparticles with average diameters of 76, 119, and 193 nm are successfully encapsulated into 3-6 µm MDS. Sustained in vitro release of nanoparticles from MDS is observed for up to 7 days. Both MDS and nanoparticles arebiocompatible with human endothelial cells. Sialyl-Lewis-A (sLe

Indexed as

Drug Delivery SystemsCell DeathCell SurvivalEndothelium, VascularHumansHuman Umbilical Vein Endothelial CellsNanoparticlesPolylactic Acid-Polyglycolic Acid CopolymerPolylactic Acid-Polyglycolic Acid Copolymerblood flowdrug deliveryinflammationmultistagePLGA

Identifiers

PMID33393217
PMCPMC8203499

What OpenQuestion holds

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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.