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Record W3197610576 · doi:10.1177/2050313x211034925

A case report of recalcitrant aphthous ulcers in two patients treated with interleukin-17 inhibitors

2021· article· en· W3197610576 on OpenAlexaff
Madison Ward, Khalad Maliyar, Melinda Gooderham

Bibliographic record

VenueSAGE Open Medical Case Reports · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsProbity Medical ResearchQueen's UniversityUniversity of TorontoSKiN Health
Fundersnot available
KeywordsMedicinePsoriasisDermatologyAdverse effectInterleukinOral mucosaPathogenesisGastroenterologyInternal medicineCytokinePathology

Abstract

fetched live from OpenAlex

The interleukin-17 signaling pathway plays a critical role in the pathogenesis of psoriasis. By inhibiting this pathway, there is a reduction in the severity of psoriasis and many patients achieve clear skin. We present two individuals, a 34-year-old male and a 40-year-old female, who developed aphthous ulcers on the oral mucosa and oral and vulvar mucosa, respectively, while undergoing treatment with interleukin-17 inhibitors. The ulcers did not respond to conventional therapy, including topical corticosteroids and nystatin 100,000 unit/mL oral suspension. Both patients underwent biopsies which confirmed the diagnosis of ulcer. Once confirmed, the interleukin-17 inhibitor was discontinued and the ulcers resolved in both cases. As we see biologic treatment, specifically interleukin-17 inhibitor, becoming more popular for the treatment of psoriasis, it is important for physicians to be aware of this potential adverse event. Early detection and intervention are important to avoid complications that can develop from rare but often painful ulcers.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.282
Teacher spread0.265 · 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 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

Citations7
Published2021
Admission routes1
Has abstractyes

Explore more

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