Evidence map›Paper›PMID 35761978›Full record

ReviewInfection and drug resistance2022

Photodynamic Therapy for the Treatment of Fungal Infections.

Xuelin Wu, Yongxuan Hu

Open access · goldAbstract readReview
In one paragraph

Review in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Photodynamic Therapy in Dermatology.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Advancements and emerging trends in photodynamic therapy: innovations in cancer treatment and beyond.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Methylene blue-photodynamic therapy forFrontiers in microbiology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Photomodulation Approaches to Overcome Antimicrobial Resistance.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  17. 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.

Xuelin WuDepartment of Dermatology and Venereology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, People's Republic of China.
Yongxuan HuDepartment of Dermatology and Venereology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, People's Republic of China.ORCID 0000-0001-7286-7584
Third Affiliated Hospital of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous fungal infections are common in humans and are associated with significant physical and psychological distress to patients. Although conventional topical and/or oral anti-fungal medications are commonly recommended treatments, drug resistance has emerged as a significant concern in this patient population, and safer, more efficacious, and cost-effective alternatives are warranted. Recent studies have reported effectiveness of photodynamic therapy (PDT) against fungal infections without severe adverse effects. In this review, we briefly discuss the mechanisms underlying PDT, current progress, adverse effects, and limitations of this treatment in the management of superficial and deep fungal infections.

Indexed as

fungal infectionphotodynamic therapyreview

Identifiers

PMID35761978
PMCPMC9233483
OpenAlexW4283208688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.