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Record W2591876822 · doi:10.1097/der.0000000000000255

Contact Allergy to (Ingredients of) Toothpastes

2017· review· en· W2591876822 on OpenAlexvenueno aff
Anton C. de Groot

Bibliographic record

VenueDermatitis · 2017
Typereview
Languageen
FieldMedicine
TopicContact Dermatitis and Allergies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDermatologyToothpasteGingivitisGlossitisStomatitisBurning mouth syndromeAllergyPatch testDentistryContact dermatitisAllergic contact dermatitisContact allergyMouth rinseAllergenTongueImmunology

Abstract

fetched live from OpenAlex

The literature on contact allergy to (ingredients of) toothpastes is critically reviewed. We have found 47 case reports, small case series (n = 2-5) and citations published between 1900 and 2016 describing more than 60 patients allergic to toothpastes, and in addition 3 larger case series and many descriptions of toothpaste allergy among selected groups of patients. Allergic reactions usually manifest as cheilitis with or without dermatitis around the mouth, less frequently by oral symptoms. Formerly, many reactions were caused by cinnamon derivatives; more recently, reported allergens are diverse. A semiopen test or closed patch test with the toothpaste "as is" may be performed as an initial test, but a positive reaction should always be followed by confirmatory tests. The role of contact allergy to toothpastes in patients with oral symptoms (stomatitis, glossitis, gingivitis, buccal mucositis, burning, soreness, and possibly burning mouth syndrome and recurrent aphthous ulcers) is unclear and should be further investigated.

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)0.002
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.076
GPT teacher head0.357
Teacher spread0.281 · 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

Citations49
Published2017
Admission routes1
Has abstractyes

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