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Record W2107635807 · doi:10.1080/13693780410001712043

Onychomycosis: a critical study of techniques and criteria for confirming the etiologic significance of nondermatophytes

2005· article· en· W2107635807 on OpenAlexaff
Richard C. Summerbell, Elizabeth A. Cooper, Ursula Bunn, Frances Jamieson, Aditya K. Gupta

Bibliographic record

VenueMedical Mycology · 2005
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsWomen's College HospitalMediprobe Research (Canada)University of TorontoMinistry of Health and Long Term CareMinistry of HealthSunnybrook Health Science Centre
Fundersnot available
KeywordsNail (fastener)PopulationEtiologyGold standard (test)MedicinePathologyDermatologyInternal medicineMaterials science

Abstract

fetched live from OpenAlex

Nondermatophytic filamentous fungi (NDF) other than Scytalidium species are variously said to cause between 0 and 50% of all toenail onychomycoses, though most estimates are in the 2-5% range. Due to the difficulty of obtaining 'gold standard' control data for comparison, the accuracy of many laboratory evaluation processes used to deal with potential NDF onychomycoses has never been rigorously measured, thus allowing use of differing interpretations of the significance of cultures. To allow valid comparison of these procedures and interpretations, a large series of patients who declined treatment were sampled on multiple occasions from all apparently onychomycotic toenails until adequate certainty had been attained that all etiologic agents had been isolated and, where necessary, confirmed as etiologic via consistent repeated isolation. This information was used to evaluate results that had been obtained in the initial direct microscopy and culture studies for the same patient population, as such results are strongly relied on in routine diagnosis. Direct microscopy (KOH) was found to be 73.8% sensitive for dermatophytes and 67.2% sensitive for proven etiologic NDF (difference not significant). Culture of the initial specimen coincidentally had a sensitivity of 74.6% for both fungal groups. KOH and culture in tandem were 83.9% sensitive for indicating fungal etiology based on the first specimen. Different evaluative frameworks currently used to interpret NDF isolations were contrasted. The 'classic' evaluation procedure, in which all NDF considered etiologic must be isolated from at least two successive nail specimens, at least one of which must be microscopic positive for compatible fungal filaments, had a sensitivity of 59.5% but a specificity of 100% for true NDF infections and mixed NDF/dermatophyte infections. The most widely used 'simple association' evaluation criterion, in which NDF outgrowth is considered etiologic whenever direct microscopy is positive for fungal elements and no dermatophyte grows out from the initial specimen, had a sensitivity of 53.6% and a specificity of 70.3% for NDF infections. A frequently criticized, but in some quarters still advocated, variant of the simple association criterion considers NDF outgrowth to be significant whenever the corresponding specimen is positive for fungal filaments in direct microscopy; application of this criterion yielded a sensitivity of 60.7% for true infections but a specificity of only 42%. With the aid of two standard notes soliciting repeat specimens, the classic criterion was able to attain 92.7% accuracy in recognizing all NDF etiologic agents and 100% accuracy in disregarding all contaminants from initial specimens that were positive in direct microscopy and yielded a filamentous fungus in initial culture. Even in exhaustive longitudinal study, only 20.2% of NDF infections were found to be associated with a concurrent dermatophytosis. In auxiliary studies, some nails remained NDF-infected after dermatophytes had been successfully eliminated by therapy.

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)0.016
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.002
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.394
Teacher spread0.362 · 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 designObservational
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

Citations137
Published2005
Admission routes1
Has abstractyes

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