Evidence map›Paper›PMID 25580097›Full record

ReviewJournal of biomedical nanotechnology2014

Photodynamic therapy: one step ahead with self-assembled nanoparticles.

Pinar Avci, S Sibel Erdem, Michael R Hamblin

Open access · greenAbstract readReview
In one paragraph

Review in Journal of biomedical nanotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
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  9. Nanoparticles ofPharmaceutics · 2023
    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

3 authors at 3 institutions in 2 countries.

Pinar Avci
S Sibel Erdem
Michael R Hamblin
Harvard University · USMassachusetts General Hospital · USSemmelweis University · HU

Funding

Photodynamic Therapy of Localized InfectionsR01AI050875 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HAMBLIN, MICHAEL R · 2003 to 2017
$4.8M
NIAID NIH HHS R01 AI050875NIAID NIH HHS R01AI050875
6 · The paper itself

Abstract

Photodynamic therapy (PDT) is a promising treatment modality for cancer with possible advantages over current treatment alternatives. It involves combination of light and a photosensitizer (PS), which is activated by absorption of specific wavelength light and creates local tissue damage through generation of reactive oxygen species (ROS) that induce a cascade of cellular and molecular events. However, as of today, PDT is still in need of improvement and nanotechnology may play a role. PDT frequently employs PS with molecular structures that are highly hydrophobic, water insoluble and prone to aggregation. Aggregation of PS leads to reduced ROS generation and thus lowers the PDT activity. Some PS such as 5-aminolevulinic acid (ALA) cannot penetrate through the stratum corneum of the skin and systemic administration is not an option due to frequently encountered side effects. Therefore PS are often encapsulated or conjugated in/on nano-drug delivery vehicles to allow them to be better taken up by cells and to more selectively deliver them to tumors or other target tissues. Several nano-drug delivery vehicles including liposomes, fullerosomes and nanocells have been tested and reviewed. Here we cover non-liposomal self-assembled nanoparticles consisting of polymeric micelles including block co-polymers, polymeric micelles, dendrimers and porphysomes.

Indexed as

PhotochemotherapyAnimalsDrug CarriersDrug Delivery SystemsHumansNanoparticlesPolymersTreatment OutcomeDrug CarriersPolymers

Identifiers

PMID25580097
PMCPMC4287382
OpenAlexW2060244013

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.