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Record W3011832467 · doi:10.1097/der.0000000000000521

Relative Prevalence of Contact Allergens in North America in 2018

2020· article· en· W3011832467 on OpenAlexvenueno aff
Andrew Scheman, Kevin R. Patel, Karolina Roszko, David L. Severson, Bruce A. Brod, Sharon E. Jacob, Rita Lloyd, Susan Nedorost, Kalman L. Watsky, Dennis P. West

Bibliographic record

VenueDermatitis · 2020
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEnvironmental healthDemography

Abstract

fetched live from OpenAlex

Background The American Contact Dermatitis Society Contact Allergen Management Program (CAMP) database was developed to provide patients with safe alternative products free of selected contact allergens. However, the CAMP database also records valuable information including the frequency of contact allergen searches for patients. Objectives The aim of the study was to determine the relative prevalence of contact allergens in North America. Methods Data from the CAMP database were analyzed from January 1, 2018, to January 1, 2019. The number of searches performed for each specific allergen served as a measure of the relative prevalence for each contact allergen. Results were then stratified by age, sex, atopic history, and patch screening tray used. Results The 2018 CAMP data show that many of the prevalent allergens are not currently on any contact allergy screening series. These data strongly indicate that testing only to an 80-item screening series will not provide adequate care for many patients with contact allergy. The most prevalent contact allergens seen were fragrance mix, nickel, balsam of Peru, methylchloroisothiazolinone/methylisothiazolinone, and cobalt. Some important differences are seen when stratifying CAMP data by age, sex, atopic history, and patch screening tray used. Limitations Possible sources of data error exist because of lack of uniformity of patch test practices. Conclusions The CAMP database can be used to determine the relative prevalence of contact allergens, to help develop North American core screening patch test series, and to document the medical necessity of more comprehensive patch testing for patients with recalcitrant contact allergy. Capsule Summary Previous studies have used databases from a limited number of practice sites to assess the relative prevalence of contact allergens. Data from the American Contact Dermatitis Society CAMP database were analyzed to determine the relative prevalence of contact allergens in North America during 2018. Data documenting the relative prevalence of contact allergens are critical in the selection of allergens for a North American core allergen series and to document the medical necessity for patch testing to additional allergens beyond the core series.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.600

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)0.0010.000

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 head0.018
GPT teacher head0.245
Teacher spread0.227 · 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.

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

Citations14
Published2020
Admission routes1
Has abstractyes

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