Onychomycosis: A 3‐Year Clinicomycologic Hospital‐Based Study
Bibliographic record
Abstract
BACKGROUND: Despite onychomycosis being an established entity, only a few studies are available from the Indian subcontinent. The authors investigated the comprehensive pattern of the condition. AIM: To investigate the epidemiologic, clinical, and mycologic factors associated with onychomycosis in 50 patients using a prospective study design. METHODS: Fifty patients with potassium hydroxide-positive tests were evaluated according to a predetermined protocal recording details of epidemiologic, clinical, and mycologic characteristics. The collected data were analyzed to determine the correlation of various parameters. RESULTS: Distal and lateral subungual onychomycosis, total dystrophic onychomycosis, and superficial white onychomycosis variants of onychomycosis were identified, mostly in men 21-30 years of age (mean age, 34.5 years). Epidemiologic characteristics were instrumental to either initiate, perpetuate, or disseminate the disease process. Trichophyton rubrum and Trichophyton mentagrophytes were the main causative dermatophytes; yeasts and molds were less common. CONCLUSIONS: Recognition of onychomycosis is less difficult providing the clinician is aware of the entity. Should the etiologic diagnosis be made, its eradication is desirable to surmount its implication in the society at large.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".