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Record W1998358338 · doi:10.2310/7750.2008.08018

Chronic Actinic Dermatitis: Clinical Cases, Diagnostic Workup, and Therapeutic Management

2009· article· en· W1998358338 on OpenAlexaff
Renée A. Beach, Melanie D. Pratt

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineDermatologyIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: We report four cases of chronic actinic dermatitis (CAD) occurring in middle-aged men with significant outdoor exposure. OBJECTIVE: The aim of this report is to show the spectrum of presentations of patients with CAD and to outline the proper diagnostic workup of these individuals. METHODS: Phototesting was performed to determine the minimal erythema doses to ultraviolet (UV)A (315-400 nm) and UVB (280-315 nm) and photopatch testing and patch testing for each individual with the North American Contact Dermatitis Group Standard series and the Chemotechnique Plant series, supplemented by the Hausen Plant series and the patients' own products. RESULTS: All patients were men, over 45 years, who worked outdoors or had outdoor hobbies. Two had a past known history of allergic contact dermatitis. Two had atopic dermatitis. Three had positive reactions to Compositae plants and sesquiterpene lactone; one had a reaction to lichen acid mix. All had photocontact dermatitis or contact dermatitis to sunscreen chemicals, including benzophenone 3 (oxybenzone), butyl methoxydibenzoylmethane (avobenzone), and ethylhexyl methoxycinnamate (octinoxate). All reacted to fragrance mix; two reacted to balsam of Peru and two to colophony. All had biopsies showing an eczematous pattern. CONCLUSION: CAD is persistent, with a classic presentation, and requires a specific diagnostic workup. Effective therapeutic options exist for patients with CAD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.038
GPT teacher head0.321
Teacher spread0.283 · 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 designOther design
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

Citations30
Published2009
Admission routes1
Has abstractyes

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