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Record W2150856226 · doi:10.7547/87507315-90-10-502

Ciclopirox nail lacquer and podiatric practice

2000· article· en· W2150856226 on OpenAlexaff
Aditya K. Gupta, KF Malkin

Bibliographic record

VenueJournal of the American Podiatric Medical Association · 2000
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineDermatologyNail (fastener)TerbinafineLacquerDebridement (dental)ItraconazoleGriseofulvinPodiatristAntifungalNail diseaseNail plateSurgeryParonychia

Abstract

fetched live from OpenAlex

Ciclopirox 8% nail lacquer has recently been approved by the US Food and Drug Administration (FDA) for the management of mild-to-moderate dermatophytic onychomycosis not involving the lunula. Previously, the agents that were approved for the treatment of dermatophytic pedal onychomycosis--griseofulvin, itraconazole, and terbinafine--were administered orally. When ciclopirox nail lacquer is used, it is recommended that the infected nail undergo debridement by a health-care professional as frequently as monthly. It is important to be aware of the circumstances under which debridement of the mycotic nail may be considered medically necessary and therefore potentially eligible for reimbursement by third-party payers. For many nail presentations, nail debridement is an important component of a treatment protocol involving either the oral medications or the topical lacquer, as it serves to reduce the fungal load and ameliorate symptoms. With the availability of a new FDA-approved topical treatment alternative, it remains to be seen if podiatrists will embrace the definitive treatment of onychomycosis using the newer oral agents, the new nail lacquer, or both in combination with nail debridement to treat the disease.

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)0.001
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.003
GPT teacher head0.264
Teacher spread0.261 · 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
GenreOther

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

Citations10
Published2000
Admission routes1
Has abstractyes

Explore more

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