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Record W4225083314 · doi:10.1097/der.0000000000000884

Consort Allergic Contact Dermatitis: A Systematic Review

2022· review· en· W4225083314 on OpenAlexvenueno aff
Jaewon Lee, Sarah Guo, Jennifer Dinalo, Vincent A. DeLeo, Brandon Adler

Bibliographic record

VenueDermatitis · 2022
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCINAHLAllergic contact dermatitisDemographicsDermatologyImmunologyAllergyNursingDemography

Abstract

fetched live from OpenAlex

ABSTRACT: Consort allergic contact dermatitis (CACD) develops following exposure to an allergen originating from another individual. The diagnosis is often not straightforward. We conducted a systematic review to characterize patient demographics, clinical features, consort types, responsible products, and associated allergens in CACD. A literature search was conducted in PubMed, EMBASE, Web of Science, and CINAHL Complete from inception to July 2020. In total, 183 articles describing 261 patients with CACD were included. Mean age was 40.9 years with female predominance (62.8%). The most common body sites involved were the face (48.6%), hand (30.4%), arm (20.9%), neck (17.8%), and genitals (11.5%). The most common consorts were partners/spouses (50.0%, of which 29.9% were related to sexual activity), children (19.4%), and healthcare providers (7.8%). Allergens were mainly encountered via direct contact with consorts (80.5% of cases). A caregiver relationship was involved in 27.6% of cases, and the consort's occupation in 14.6%. The most frequently implicated products were medications (35.6%), plants/botanicals (11.7%), and fragrances (8.7%). Patch testing identified 125 unique allergens in CACD. CACD can occur in relation to many individuals encountered throughout life. Caregivers may represent a high-risk group for developing CACD. Obtaining a holistic history encompassing social, sexual, and occupational factors can aid in the 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)0.001
metaresearch head score (Gemma)0.001
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.362
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.043
GPT teacher head0.313
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 designSystematic review
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

Citations12
Published2022
Admission routes1
Has abstractyes

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