Evidence map›Paper›PMID 30546918›Full record

ReviewJournal of pharmaceutical investigation2018

Mesoporous silica-based nanoplatforms for the delivery of photodynamic therapy agents.

Suk Ho Hong, Yongdoo Choi

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of pharmaceutical investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 65 citations in OpenAlex.

  1. Apoptosis-inducing photodynamic therapy via dual-wavelength responsive ICG/Ce6 incorporated mesoporous silica nanoparticles in prostate cancer cells.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
    Article
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  10. The emergence of nanoporous materials in lung cancer therapy.Science and technology of advanced materials · 2022
    Review
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  15. Review
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  17. Co-delivery of D-(KLAKLAK)Pharmaceutics · 2019
    Article
  18. Review
  19. Synthesis, Radiolabelling and In Vitro Imaging of Multifunctional Nanoceramics.ChemNanoMat : chemistry of nanomaterials for energy, biology and more · 2018
    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

2 authors at 1 institution in 1 country.

Suk Ho HongBiomarker Branch, National Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408 Republic of Korea.
Yongdoo ChoiBiomarker Branch, National Cancer Center, 323 Ilsan-ro, Goyang-si, Gyeonggi-do 10408 Republic of Korea.ORCID 0000-0003-4231-6946
National Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodynamic therapy (PDT) is an established method for the treatment of cancer which utilizes light, a photosensitizer (PS), and oxygen. Unfavourable characteristics of most PSs, such as low solubility and tumour specificity have led many researchers to adopt nanoscale drug delivery platforms for use in PDT. Mesoporous silica nanoparticles (MSNs) form a significant part of that effort, due to their ease and controllability of synthesis, ease of loading, availability of diverse surface functionalization, and biocompatibility. Therefore, in this review, we discuss the properties of MSNs as they pertain to their use in PDT and review the latest advances in the field, comparing the different approaches currently being used.

Indexed as

BiocompatibilityControlled releaseDrug deliveryMesoporous silicaNanocarrierPhotodynamic therapyTheranostic platform

Identifiers

PMID30546918
PMCPMC6267390
OpenAlexW2755984151

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.