Evidence map›Paper›PMID 30873451›Full record

ReviewJournal of clinical and translational research2015

Antibacterial photodynamic therapy: overview of a promising approach to fight antibiotic-resistant bacterial infections.

Yao Liu, Rong Qin, Sebastian A J Zaat, Eefjan Breukink, Michal Heger

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of clinical and translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05162417 (Efficacy of Some Different Photosensitizers in Photodynamic Inactivation of Periodontal Pathogens), which is not on this map. Cited by 135 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed, 4 pooled it
–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.

NCT05162417 nacompletednot on this mapstarted 2021, after this paper: background citation

Efficacy of Some Different Photosensitizers in Photodynamic Inactivation of Periodontal Pathogens:A Randomized Clinical Trial

TypeinterventionalSponsorUniversity of SulaimaniRan2021 to 2023Enrolled18ConditionsPeriodontal Diseases, Periodontal PocketArmsMethylene Blue, Toluidine Blue O
3 · Its place in the literature

Who cites it

135 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  15. Photodynamic Therapy in Dermatology.International journal of molecular sciences · 2026
    Review
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75 more citing papers are in PubMed but not listed here.

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.

Yao LiuDepartment of Membrane Biochemistry and Biophysics, Utrecht University, the Netherlands.
Rong QinDepartment of Membrane Biochemistry and Biophysics, Utrecht University, the Netherlands.
Sebastian A J ZaatDepartment of Medical Microbiology, Academic Medical Center, University of Amsterdam, the Netherlands.
Eefjan BreukinkDepartment of Membrane Biochemistry and Biophysics, Utrecht University, the Netherlands.
Michal HegerDepartment of Membrane Biochemistry and Biophysics, Utrecht University, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibacterial photodynamic therapy (APDT) has drawn increasing attention from the scientific society for its potential to effectively kill multidrug-resistant pathogenic bacteria and for its low tendency to induce drug resistance that bacteria can rapidly develop against traditional antibiotic therapy. The review summarizes the mechanism of action of APDT, the photosensitizers, the barriers to PS localization, the targets, the in vitro-, in vivo-, and clinical evidence, the current developments in terms of treating Gram-positive and Gram-negative bacteria, the limitations, as well as future perspectives.

Indexed as

Antibacterial photodynamic therapybacterial cell envelopeilluminationlight dosemultidrug resistancenon-selectivityphotosensitizerreactive oxygen speciessinglet oxygen

Identifiers

PMID30873451
PMCPMC6410618

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Registered trials

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.