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Record W4406164673 · doi:10.1089/derm.2024.0365

Clarification and Modification of the International Contact Dermatitis Research Group Classification of Patch Test Reactions on Behalf of the International Contact Dermatitis Research Group

2025· review· en· W4406164673 on OpenAlexvenueno aff
M. Bruze, Cecilia Svedman

Bibliographic record

VenueDermatitis · 2025
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineContact dermatitisPatch testDermatologyGroup (periodic table)Patch testingAllergic contact dermatitisImmunologyOrganic chemistryAllergy

Abstract

fetched live from OpenAlex

The first ICDRG (International Contact Dermatitis Research Group) classification of patch test reactions was published in 1970. With this classification, many weak reactions were classified as allergic reactions. A second classification was therefore implemented one decade later on behalf of the ICDRG and the North American Contact Dermatitis Group. This classification was adopted by the European Society of Contact Dermatitis. Evaluation of the significance of the results of various studies on patch test reading demonstrated that a new ICDRG classification of patch test reactions was needed. A classification system should not be based on the exclusive presence/absence of papules and vesicles, i.e., the words "possibly papules/vesicles" allow for the unavoidable variation in reading among experts. Dermatologists are not reading patch test reactions in a uniform way due to lack of a clear definition of the threshold between weak allergic and doubtful reactions. A new ICDRG classification with clarifications and modifications of the old one is presented.

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)0.008
metaresearch head score (Gemma)0.014
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: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0090.006
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.002

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 head0.137
GPT teacher head0.408
Teacher spread0.271 · 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
GenreReview

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

Citations9
Published2025
Admission routes1
Has abstractyes

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