MétaCan
Menu
Back to cohort
Record W1972097226 · doi:10.7547/0003-0538-104.5.479

Efinaconazole 10% Solution in the Treatment of Onychomycosis of the Toenails

2014· review· en· W1972097226 on OpenAlexaboutno aff
Warren S. Joseph, Tracey C. Vlahovic, Radhakrishnan Pillai, Jason T. Olin

Bibliographic record

VenueJournal of the American Podiatric Medical Association · 2014
Typereview
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDermatology

Abstract

fetched live from OpenAlex

BACKGROUND: Efinaconazole 10% solution is a new triazole antifungal agent developed for the topical treatment of onychomycosis. This article reviews the pooled results of the two pivotal clinical trials of this drug that have been performed in the United States, Canada, and Japan. METHODS: The two studies of 1,655 patients were both double-blind, vehicle-controlled, parallel-group, randomized, multicenter studies designed to determine the efficacy and safety of efinaconazole 10% solution in the treatment of mild-to-moderate onychomycosis of the toenails caused by dermatophytes. Treatment was provided once daily for 48 weeks, and the primary end point was at week 52. RESULTS: The combined results show a 56% mycologic cure rate compared with 17% for vehicle at week 52. Clinical treatment success was achieved in 43% of patients treated with efinaconazole 10% solution at follow-up (week 52). Clinical treatment success was achieved in 47% of patients. As expected for a topical agent, the use of efinaconazole 10% solution was found to be safe, with mild, transient irritation at the site of application reported as the most common adverse event. CONCLUSIONS: The efficacy and safety profile of efinaconazole 10% solution suggests that it may represent an important advance in the topical treatment of onychomycosis. Further studies will help us better understand the role of this agent for the treatment of this widespread podiatric medical condition.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.337
Teacher spread0.318 · 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 designOther design
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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Podiatric Medical AssociationSame topicNail Diseases and TreatmentsFrench-language works237,207