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Record W2092918379 · doi:10.1097/der.0b013e318260d78d

Sensitization Prevalence for Benzalkonium Chloride and Benzethonium Chloride

2012· article· en· W2092918379 on OpenAlexvenueno aff
Harry Dao, Fricker Chris, Susan Nedorost

Bibliographic record

VenueDermatitis · 2012
Typearticle
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsBenzalkonium chlorideSensitizationMedicinePatch testDermatologyContact dermatitisAllergic contact dermatitisPatch testingAtopyAllergyImmunologyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Benzalkonium chloride (BAK) and benzethonium chloride (BEC) are well-characterized skin irritants and rare sensitizers, but optimal testing for allergic contact dermatitis (ACD) is not established. OBJECTIVE: Sensitization prevalence was sought, and several patch testing concentrations and vehicles were compared. METHODS: One hundred forty-two patients tested to the standard screening series for evaluation of dermatitis consented to additional tests including BAK 0.15% aqueous (aq), BAK 0.15% petrolatum (pet), BEC 0.15% aq, and BEC 0.5% aq. Follow-up to assess clinical relevancy included early and late patch test reads, 1-month clinical follow-up, and long-term phone calls. Patients were categorized as definite, possible, or unlikely to have ACD to BAK and/or BEC. RESULTS: Atopy was not associated with patch test reactions (P = 0.154). Seventy-five percent (6/8) of the patients with possible ACD to BAK had coreactions with BEC. Testing to both BAK 0.15% pet and 0.15% aq would have identified 91% of those with possible ACD to BAK, twice as many than if only BAK 0.1% aq from the standard series was used. CONCLUSION: Sensitization to BAK and BEC, although rare, does occur. Weak and morphologically irritant reactions at day 7 reading can be relevant. We recommend testing to BAK 0.15% aq and 0.15% pet to increase sensitivity and having patients undergo long-term follow-up.

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 score0.101
Threshold uncertainty score0.611

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)0.0000.000

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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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

Citations38
Published2012
Admission routes1
Has abstractyes

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