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Record W4312379893 · doi:10.33590/emjdermatol/10310097

Lingual Pustular Psoriasis and Acrodermatitis Continua of Hallopeau Successfully Treated with Adalimumab: A Rare Case Report and Review of Oral Psoriasis

2018· article· en· W4312379893 on OpenAlexaff
Sarah J.J. Touyz, Melanie D. Pratt

Bibliographic record

VenueEMJ Dermatology · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicinePsoriasisDermatologyGeneralized pustular psoriasisAdalimumabPustular psoriasisAcrodermatitisTonguePathologyDisease

Abstract

fetched live from OpenAlex

Psoriasis is a common skin disease with various cutaneous manifestations and is classified into two clinical groups: non-pustular and pustular. Pustular psoriasis is less common than non-pustular forms of psoriasis and is particularly resistant to treatment. Studies of the rarer variants of acrodermatitis continua of Hallopeau and pustular psoriasis of the tongue remain scant. The subtypes of psoriasis can present all over the body, including in uncommon locations, such as the oral cavity; however, there are limited presentations and data regarding oral involvement in psoriasis and its subsequent management. Although cases involving oral psoriasis are rare, with <100 publications in the literature, and generally asymptomatic, recent studies have suggested that it is more prevalent than once thought. In contrast, presentation and subsequent management of lingual pustular psoriasis have not been reported. Presented and discussed in this review is a rare case of symptomatic, painful lingual pustular psoriasis and acrodermatitis continua of Hallopeau with complete remission after the use of adalimumab, followed by a thorough review of the histopathology, diagnosis, and clinical management of oral psoriasis. The use of biologics for conditions involving the oral mucosa, particularly in the setting of cutaneous psoriasis, is a novel concept with potential application in the fields of dermatology, oral medicine, and rheumatology.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.259
Teacher spread0.245 · 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.

Study designCase report
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

Citations0
Published2018
Admission routes1
Has abstractyes

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