One size does not fit all: the need for individualized treatment based on factors that may affect the therapeutic outcome of efinaconazole 10% solution for the treatment of toenail onychomycosis
Bibliographic record
Abstract
Successful management of onychomycosis is a challenge because cure rates with most antifungals are relatively low and recurrence rates are high. A drug-based approach by treating the nail alone may not suffice. There are several host-related factors (age, sex, body mass index [BMI], and patient's quality of life), disease-related factors (disease severity, duration, and the number of toenails affected), and comorbidities (tinea pedis and diabetes) that may affect treatment efficacy. Here, we review the post hoc analyses of the phase III trials of efinaconazole 10% solution that have investigated the impact of these factors on topical therapy for toenail onychomycosis. The significant clinical variables that may affect the efficacy of efinaconazole include sex, BMI, disease severity, disease duration, and tinea pedis. As older patients may have slower toenail growth and more severe, longstanding disease compared with younger patients, they may require longer treatment duration, beyond the 48-week standard regimen. Treatment compliance may need to be discussed for an improved health outcome. Therefore, these prognostic factors need to be carefully evaluated, which may aid in formulating individualized therapy to maximize treatment success.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".