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Record W4406438006 · doi:10.1089/derm.2024.0356

Colophony in Dentistry: Routes of Exposure and Reported Reactions

2025· review· en· W4406438006 on OpenAlexvenueno aff
Brailyn Weber, Sarah Karels, Anne Neeley

Bibliographic record

VenueDermatitis · 2025
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDentistryOrthodontics

Abstract

fetched live from OpenAlex

Colophony is a solid form of resin derived from coniferous trees that has both adhesive and water-resistant properties. For these reasons, this allergen is incorporated into many personal care products, medications, and occupational materials, and is thus commonly implicated in allergic contact dermatitis. Dedicated "dental" allergen series often include colophony, but dermatologists are likely not well-versed on its use in a dental setting. There are several routes of exposure to colophony via dental materials, including periodontal dressings, cements, and varnishes. Contact with these products by an individual with a colophony allergy has the potential to produce oral reactions, but cases in the literature are sparse, with almost no publications on this topic in the past decade. This article reviews the existing cases of oral reactions to colophony and discusses their relevance in medical practice. The most common oral reaction identified was allergic contact stomatitis arising after dental interventions in which colophony-containing dressings or fluoride varnishes were used. Cases of allergic contact cheilitis, oral lichen planus, and systemic contact dermatitis have also been described. Both dentists and dermatologists should be aware of colophony's ability to produce allergic contact reactions, especially in the form of stomatitis or cheilitis. For known colophony-allergic patients, dermatologists should provide counseling regarding potential exposure in dental materials and procedures.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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