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Record W158167970 · doi:10.2310/6620.2010.09074

Patch Testing Practices of American Contact Dermatitis Society Members

2010· article· en· W158167970 on OpenAlexvenueno aff
Rachel Schleichert, Sarah Grim Hostetler, Matthew Zirwas

Bibliographic record

VenueDermatitis · 2010
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePatch testingContact dermatitisAllergic contact dermatitisPatch testAllergenTest (biology)DermatologyFamily medicineAllergyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Patch testing is an important part of diagnosing allergic contact dermatitis although there is much variability in methodology among practitioners. OBJECTIVE: We surveyed members of the American Contact Dermatitis Society (ACDS) to quantify time spent with patients with contact dermatitis; to characterize patch testing practices, including the Thin-Layer Rapid Use Epicutaneous (T.R.U.E.) Test; and to assess utilization of the Contact Allergen Replacement Database (CARD). METHODS: An electronic survey was sent to all members of the ACDS. RESULTS: Our survey was sent to the 600 members of the ACDS; 100 members participated (a response rate of 16.6%). Respondents used patch testing trays that contained an average of 62 allergens; 68% of respondents used the North American Contact Dermatitis Group series, and only 9% used the T.R.U.E. Test. Respondents' biggest criticism of the T.R.U.E. Test was its low number of allergens, and 94% of respondents used CARD regularly. CONCLUSION: ACDS members used patch testing trays with many allergens. Despite the T.R.U.E. Test's popularity among general dermatologists and allergists, few ACDS members used it. Routine CARD usage should be encouraged.

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)0.001
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 score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.022
GPT teacher head0.292
Teacher spread0.270 · 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

Citations10
Published2010
Admission routes1
Has abstractyes

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