MétaCan
Menu
Back to cohort
Record W4402656134 · doi:10.1111/ijd.17495

Pediatric dermatophyte onychomycosis: a review

2024· review· en· W4402656134 on OpenAlexaff
Aditya K. Gupta, Daniel Taylor

Bibliographic record

VenueInternational Journal of Dermatology · 2024
Typereview
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsMediprobe Research (Canada)University of Toronto
Fundersnot available
KeywordsMedicineItraconazoleTerbinafineEpidemiologyDermatophyteDermatologyPopulationMycosisIntensive care medicineDiseaseAntifungalPediatricsSurgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Recent studies have reported an increase in pediatric onychomycosis prevalence worldwide, suggesting that this population may be increasingly affected by the infection. A summary of the epidemiological impact, antifungal treatment options, special considerations for at-risk subpopulations, and methods to prevent infection and recurrence are discussed. A systematic review of available epidemiological studies found the worldwide prevalence of culture-confirmed pediatric toenail onychomycosis to be 0.33%, with no significant increases in prevalence over time. A systematic review of studies investigating the efficacy of various antifungals in treating pediatric onychomycosis found high cure rates and low frequency of adverse events with systemic itraconazole and terbinafine; however, the studies are few, dated, and lack impact because of small sample sizes. Comparatively, clinical trials implementing FDA-approved topical antifungal treatments report slightly reduced cure rates with larger sample sizes. Patients with immunity-altering conditions, such as Down's syndrome, or those immunosuppressed because of chemotherapy or HIV/AIDS are at a greater risk of onychomycosis infection and require special consideration with treatment. Proper sanitization and hygiene practices are necessary to reduce the risk of acquiring infection. Early diagnosis and treatment of onychomycosis in children, as well as any affected close contacts, are crucial in reducing the impact of the disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.650
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.428
Teacher spread0.388 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of DermatologySame topicNail Diseases and TreatmentsFrench-language works237,207