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Record W2329435093 · doi:10.1097/der.0b013e318277ca3d

Patch Testing With Textile Allergens: The Mayo Clinic Experience

2012· article· en· W2329435093 on OpenAlexvenueno aff
Ashley B. Wentworth, Donna M. Richardson, Mark D.P. Davis

Bibliographic record

VenueDermatitis · 2012
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
FundersMayo Clinic
KeywordsPatch testingTextilePatch testMedicineAllergic contact dermatitisAllergenDermatologyFormaldehydeAllergyContact allergyContact dermatitisp-PhenylenediamineAllergic reactionComposite materialOrganic chemistryMaterials scienceChemistryImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Recognition of allergic contact dermatitis attributed to textile dyes and resins is steadily increasing. OBJECTIVE: This study aims to review the results of patch testing with a textile series at our institution and to compare with previously published reports. METHODS: We performed a retrospective review of results in patients who underwent patch testing using a series of textile dyes and resins from January 1, 2000, through September 30, 2011. RESULTS: A total of 671 patients (mean age, 56.5 years; female, 65.9%) were patch tested with the textile series (42 dyes and resins). These patients were also generally tested with the standard patch test series (n = 620). Of the patients, 219 (32.6%) demonstrated allergic reaction to 1 or more textile dyes and resins, and 71 (10.6%) manifested irritant reactions. The most frequent allergens were disperse blue 106 1% (8.3%), disperse blue 124 1% (8.0%), and melamine formaldehyde 7% (8.0%). Of patients tested with the standard series, 36 (5.8%) showed a positive reaction to the traditional textile screening allergen p-phenylenediamine 1%. CONCLUSIONS: Supplementing the standard series with the textile series increased detection of textile allergies. In patients suspected of textile allergy, addition of the textile series is necessary for appropriate diagnosis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.287
Teacher spread0.246 · 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 teacher head, not a consensus.

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

Citations18
Published2012
Admission routes1
Has abstractyes

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