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Record W2799795737 · doi:10.1097/der.0000000000000371

Genital Allergic Contact Dermatitis

2018· review· en· W2799795737 on OpenAlexvenueno aff
Katerina Yale, Olabola Awosika, Mónica Rengifo‐Pardo, Alison Ehrlich

Bibliographic record

VenueDermatitis · 2018
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDermatologyAllergic contact dermatitisSex organContact dermatitisAllergenDiaper DermatitisIrritant contact dermatitisPatch testingAllergyImmunology

Abstract

fetched live from OpenAlex

Genital allergic contact dermatitis (ACD) is an uncommon disorder, yet it severely impairs the quality of life for both men and women. Because of cultural taboos, many patients self-treat and delay proper diagnosis before presenting to a provider. Diagnosis is further confounded by irritant contact dermatitis and other genital dermatoses, which can predispose to skin barrier dysfunction and allergen penetration. Genital ACD can present acutely with erythematous erosions and pruritus or chronically with lichenification. Patch testing helps determine the diagnosis and provide relief for the patient. Topical medications, including local anesthetics and corticosteroids, are the most common genital allergens. Other typical allergens include fragrances, preservatives, adhesives, dyes, and rubber products. Less commonly considered allergens include herbs, spices, and topical vehicle components. Here, we review the most common allergens for both men and women, discuss important patch-testing panels, and recommend safe products for patients with genital ACD.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.580
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.006

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 head0.036
GPT teacher head0.305
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; both teacher heads agree on what is shown here.

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

Citations43
Published2018
Admission routes1
Has abstractyes

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