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Record W4407059329 · doi:10.1177/2050313x251317763

Palmoplantar plaque psoriasis responsive to upadacitinib: A report of two cases

2025· article· en· W4407059329 on OpenAlexaff
Bohmyi Choi, Heidi Oi‐Yee Li, Steven J. Glassman

Bibliographic record

VenueSAGE Open Medical Case Reports · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicinePsoriasisDermatologyIxekizumabAdverse effectAcitretinRefractory (planetary science)Plaque psoriasisPalmoplantar pustulosisUstekinumabSecukinumabInternal medicineAdalimumabPsoriatic arthritis

Abstract

fetched live from OpenAlex

Palmoplantar plaque psoriasis is more resistant to therapy compared to other phenotypes of psoriasis. To our knowledge, there are no reports of the efficacy of Janus kinase (JAK) inhibitors for palmoplantar plaque psoriasis. Two adult females presented with more than 6-year histories of severe palmoplantar plaque psoriasis. The first patient had failed topical therapies, phototherapy, acitretin, and secukinumab. The second patient had failed topical therapies and systemic agents including alitretinoin, cyclosporine, apremilast, ustekinumab, ixekizumab, and risankizumab. Both cases were switched to upadacitinib 15 mg daily, with a complete response by 3 months of therapy and no adverse events. The first patient had slightly elevated fasting triglyceride and the second patient had elevated ALT, both of which are being monitored. This case series highlights the efficacy of upadacitinib in two patients with refractory palmoplantar plaque psoriasis. JAK1 inhibitors may be considered as third-line therapeutic options in patients with refractory palmoplantar plaque psoriasis and no contraindications to JAK inhibitors.

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)0.003
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 score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.023
GPT teacher head0.328
Teacher spread0.305 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueSAGE Open Medical Case ReportsSame topicPsoriasis: Treatment and PathogenesisFrench-language works237,207