Evidence map›Paper›PMID 33921611›Full record

ReviewLife (Basel, Switzerland)2021

The Use of Upconversion Nanoparticles in Prostate Cancer Photodynamic Therapy.

Michał Osuchowski, Filip Osuchowski, Wojciech Latos, Aleksandra Kawczyk-Krupka

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 23 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 3 institutions in 1 country.

Michał OsuchowskiCollege of Medical Sciences, University of Rzeszów, 35-310 Rzeszów, Poland.
Filip OsuchowskiCollege of Medical Sciences, University of Rzeszów, 35-310 Rzeszów, Poland.ORCID 0000-0001-7838-2940
Wojciech LatosSpecialistic Hospital No. 2, 41-902 Bytom, Poland.
Aleksandra Kawczyk-KrupkaDepartment of Internal Medicine, Angiology and Physical Medicine, Center for Laser Diagnostics and Therapy, Medical University of Silesia in Katowice, 41-902 Bytom, Poland.
University of Rzeszów · PLMedical University of Silesia · PLWojewódzki Szpital Specjalistyczny nr 4 w Bytomiu · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodynamic Therapy (PDT) is a cancer treatment that uses light, a photosensitizer, and oxygen to destroy tumors. This article is a review of approaches to the treatment of prostate cancer applying upconversion nanoparticles (UCNPs). UCNPs have become a phenomenon that are rapidly gaining recognition in medicine. They have proven to be highly selective and specific and present a powerful tool in the diagnosis and treatment of prostate cancer. Prostate cancer is a huge health problem in Western countries. Its early detection can significantly improve patients' prognosis, but currently used diagnostic methods leave much to be desired. Recently developed methodologies regarding UCNP research between the years 2021 and 2014 for prostate cancer PDT will also be discussed. Current limitations in PDT include tissue irradiation with visible wavelengths that have a short tissue penetration depth. PDT with the objectives to synthesize UCNPs composed of a lanthanide core with a coating of adsorbed dye that will generate fluorescence after excitation with near-infrared light to illuminate deep tissue is a subject of intense research in prostate cancer.

Indexed as

PDTphotodynamic therapyprostate cancerUCNPsupconversion nanoparticles

Identifiers

PMID33921611
PMCPMC8073589
OpenAlexW3155924616

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.