Evidence map›Paper›PMID 39364058›Full record

ReviewFrontiers in pharmacology2024

Applications and challenges of photodynamic therapy in the treatment of skin malignancies.

Yunqi Hua, Xiaoling Tian, Xinyi Zhang, Ge Song, Yubo Liu, Ye Zhao, Yuqian Gao, Fangrui Yin

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

8 authors.

Yunqi Hua *Department of Medical Oncology, Baotou Cancer Hospital, Baotou, China.
Xiaoling Tian *Department of Graduate School, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Xinyi ZhangDepartment of Medical Oncology, Baotou Cancer Hospital, Baotou, China.
Ge SongDepartment of Graduate School, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Yubo LiuDepartment of Graduate School, Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, China.
Ye ZhaoDepartment of Public Health, International College, Krirk University, Bangkok, Thailand.
Yuqian GaoDepartment of Medical Oncology, Baotou Cancer Hospital, Baotou, China.
Fangrui YinDepartment of Rheumatology, The First Affiliated Hospital of Baotou Medical College, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodynamic Therapy (PDT), as a minimally invasive treatment method, has demonstrated its distinct advantages in the management of skin malignant tumors. This article examines the current application status of PDT, assesses its successful cases and challenges in clinical treatment, and anticipates its future development trends. PDT utilizes photosensitizers to interact with light of specific wavelengths to generate reactive oxygen species that selectively eradicate cancer cells. Despite PDT's exceptional performance in enhancing patients' quality of life and prognosis, the limitation of treatment depth and the side effects of photosensitizers remain unresolved issues. With the advancement of novel photosensitizers and innovative treatment technology, the application prospects of PDT are increasingly expansive. This article delves into the mechanism of PDT, its application in various skin malignancies, its advantages and limitations, and envisions its future development. We believe that through continuous technological enhancements and integration with other treatment technologies, PDT has the potential to assume a more pivotal role in the treatment of skin malignancies.

Indexed as

limitationphotodynamic therapyskin malignant tumorstherapeutic effecttreatment

Identifiers

PMID39364058
PMCPMC11446773

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Registered trials

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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.