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Record W2081649532 · doi:10.5539/gjhs.v5n1p150

Comparison of Superficial Mycosis treatment using Butenafine and Bifonazole nitrate Clinical Efficacy

2012· article· en· W2081649532 on OpenAlexvenueno aff
Mohammed Abdul Bari

Bibliographic record

VenueGlobal Journal of Health Science · 2012
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBifonazoleMycosisMedicineTinea capitisAntifungalClinical trialDermatologyRandomized controlled trialSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Superficial fungal infections are commonly encountered by the physician. And the continuously changing epidemiology of invasive fungal infections results in the need for an expanded armamentarium of antifungal therapies. This study was designed to evaluate the safety and efficacy of Butenafine (BTF) versus Bifonazole (BFZ) in the treatment of superficial mycosis in a randomized, double-blind, parallel-group trial. Of 96 patients, 48 applied (BTF) cream and 48 applied (BFZ) cream for 2 weeks to tinea versicolor, corporis and cruris treat, while tinea of feet & hands was treated for 4 weeks duration. Efficacy was assessed after the end of treatment and 2 weeks later. At the end of therapy, we find somewhat more patients using (BTF) than using (BFZ) had a mycologic cure ((BTF), 87.5%; (BFZ) 83.3%) and effective clinical response ((BTF), 91.7%; (BFZ), 83.3%). (BTF) provides rapid and persistent antifungal activity and symptom relief in patients with superficial mycosis during treatment. And patients continued to improve for at least 2 weeks after treatment. The Rates of mycologic cure and effective treatment with (BTF) were higher than with (BFZ) at cessation of treatment and 2 weeks later. However, no significant difference found between the two drugs (p> 0.05).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.178
GPT teacher head0.518
Teacher spread0.341 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations9
Published2012
Admission routes1
Has abstractyes

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