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Record W4400873993 · doi:10.1159/000539822

Treatments for Onychomycosis: A Bibliometric Analysis

2024· article· en· W4400873993 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSkin Appendage Disorders · 2024
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsMediprobe Research (Canada)University of Toronto
Fundersnot available
KeywordsBibliometricsLibrary scienceComputer science

Abstract

fetched live from OpenAlex

Introduction: Oral antifungals were the earliest treatments to receive approval for the management of onychomycosis and have a long-standing record to support their efficacy. Topical antifungals and device-based treatments have been explored and some implemented in more recent years as alternatives to traditional oral antifungals. The present bibliometric analysis summarizes trends in publication frequency for onychomycosis treatment modalities over time and characterizes their body of literature in terms of types of studies available and relative level of evidence. Methods: A comprehensive literature search was performed using Web of Science and SCOPUS databases. Results: Covering all publications from 1970 to present day, our search identified oral therapeutics n = 295 articles (n = 63 randomized control trials [RCTs]), topical therapeutics n = 358 articles (n = 72 RCTs), and device-based treatments n = 158 articles (n = 37 RCTs). Spikes in research activity surround FDA approval of therapeutics for each treatment modality. Research activity within the last decade has focused on topical and device-based treatments. Evidence for efficacy of device-based treatments is lacking from relatively few high-quality RCTs. Conclusion: With growing concern for non-dermatophyte mold onychomycosis and terbinafine resistance, researchers should validate the efficacy and safety of device-based treatments with high-quality studies.

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.

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 categoriesBibliometrics
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0320.073
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.332
Teacher spread0.319 · 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