Evidence map›Paper›PMID 33937282›Full record

ReviewFrontiers in medicine2021

Diagnosis of Onychomycosis: From Conventional Techniques and Dermoscopy to Artificial Intelligence.

Sophie Soyeon Lim, Jungyoon Ohn, Je-Ho Mun

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. First case report of onychomycosis caused byMedical mycology case reports · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Diagnosing Onychomycosis: What's New?Journal of fungi (Basel, Switzerland) · 2022
    Review
  19. Article
  20. Updated Perspectives on the Diagnosis and Management of Onychomycosis.Clinical, cosmetic and investigational dermatology · 2022
    Review
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

3 authors at 2 institutions in 2 countries.

Sophie Soyeon LimAlfred Health, Melbourne, VIC, Australia.
Jungyoon OhnDepartment of Dermatology, Seoul National University College of Medicine, Seoul, South Korea.
Je-Ho MunDepartment of Dermatology, Seoul National University College of Medicine, Seoul, South Korea.
Seoul National University · KRAlfred Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Onychomycosis is a common fungal nail infection. Accurate diagnosis is critical as onychomycosis is transmissible between humans and impacts patients' quality of life. Combining clinical examination with mycological testing ensures accurate diagnosis. Conventional diagnostic techniques, including potassium hydroxide testing, fungal culture and histopathology of nail clippings, detect fungal species within nails. New diagnostic tools have been developed recently which either improve detection of onychomycosis clinically, including dermoscopy, reflectance confocal microscopy and artificial intelligence, or mycologically, such as molecular assays. Dermoscopy is cost-effective and non-invasive, allowing clinicians to discern microscopic features of onychomycosis and fungal melanonychia. Reflectance confocal microscopy enables clinicians to observe bright filamentous septate hyphae at near histologic resolution by the bedside. Artificial intelligence may prompt patients to seek further assessment for nails that are suspicious for onychomycosis. This review evaluates the current landscape of diagnostic techniques for onychomycosis.

Indexed as

artificial intelligencedermoscopydiagnosisdiagnostic imagingfungionychomycosispathologyreflectance confocal microscopy

Identifiers

PMID33937282
PMCPMC8081953
OpenAlexW3156825476

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.