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Record W2761363956 · doi:10.1159/000480023

Antibiofilm Treatment for Onychomycosis and Chronic Fungal Infections

2017· review· en· W2761363956 on OpenAlexaff
Aditya K. Gupta, Jessie Carviel, Neil H. Shear

Bibliographic record

VenueSkin Appendage Disorders · 2017
Typereview
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreMediprobe Research (Canada)University of Toronto
Fundersnot available
KeywordsBiofilmVirulenceAntifungalAntimicrobialMicrobiologyMedicineAntifungal drugsEffluxPhotodynamic therapyBiologyIntensive care medicineBacteriaChemistry

Abstract

fetched live from OpenAlex

Onychomycosis is a difficult-to-treat chronic fungal infection of the nail. The chronic nature of onychomycosis, with relevance to current treatment practices, could be attributed to host anergy, development of increased virulence in causal agents (multidrug resistance efflux pump), and biofilms. Biofilms must be disrupted prior to antifungal treatment suggesting the necessity of combination treatment. Once the biofilm has been disrupted, further techniques in addition to antifungal usage are suggested to ensure a positive prognosis including use of antimicrobial photodynamic therapy or low-frequency surface acoustic waves. Overall, with continued success in developing antibiofilm treatment for bacterial and yeast pathogens, therapy can be more quickly expanded to dermatophytes. With a rise in predisposing factors, it is important to preemptively address treatment for this disease with continued investigation into antibiofilm therapy including optimal treatment combinations and dosages targeted specifically at dermatophytes.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.075
GPT teacher head0.416
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 designNot applicable
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

Citations25
Published2017
Admission routes1
Has abstractyes

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