Evidence map›Paper›PMID 35628720›Full record

ReviewJournal of fungi (Basel, Switzerland)2022

Diagnosing Onychomycosis: What's New?

Aditya K Gupta, Deanna C Hall, Elizabeth A Cooper, Mahmoud A Ghannoum

Abstract readReview
In one paragraph

Review in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Efficacy of Fractional Versus Fully Ablative CODermatology practical & conceptual · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Updates on Tinea Incognita: Literature review.Current medical mycology · 2023
    Review
  16. Post-Traumatic Single-Digit Onychomycosis.Journal of fungi (Basel, Switzerland) · 2023
    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

4 authors.

Aditya K GuptaDepartment of Medicine, Division of Dermatology, University of Toronto School of Medicine, Toronto, ON M5S 3H2, Canada.ORCID 0000-0002-8664-7723
Deanna C HallMediprobe Research Inc., London, ON N5X 2P1, Canada.ORCID 0000-0001-9352-3326
Elizabeth A CooperMediprobe Research Inc., London, ON N5X 2P1, Canada.ORCID 0000-0002-1121-5619
Mahmoud A GhannoumCenter for Medical Mycology, Department of Dermatology, Case Western Reserve University, Cleveland, OH 44106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An overview of the long-established methods of diagnosing onychomycosis (potassium hydroxide testing, fungal culture, and histopathological examination) is provided followed by an outline of other diagnostic methods currently in use or under development. These methods generally use one of two diagnostic techniques: visual identification of infection (fungal elements or onychomycosis signs) or organism identification (typing of fungal genus/species). Visual diagnosis (dermoscopy, optical coherence tomography, confocal microscopy, UV fluorescence excitation) provides clinical evidence of infection, but may be limited by lack of organism information when treatment decisions are needed. The organism identification methods (lateral flow techniques, polymerase chain reaction, MALDI-TOF mass spectroscopy and Raman spectroscopy) seek to provide faster and more reliable identification than standard fungal culture methods. Additionally, artificial intelligence methods are being applied to assist with visual identification, with good success. Despite being considered the 'gold standard' for diagnosis, clinicians are generally well aware that the established methods have many limitations for diagnosis. The new techniques seek to augment established methods, but also have advantages and disadvantages relative to their diagnostic use. It remains to be seen which of the newer methods will become more widely used for diagnosis of onychomycosis. Clinicians need to be aware of the limitations of diagnostic utility calculations as well, and look beyond the numbers to assess which techniques will provide the best options for patient assessment and management.

Indexed as

artificial intelligencediagnosismicroscopyonychomycosispolymerase chain reactionspectroscopytomography

Identifiers

PMID35628720
PMCPMC9146047

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.