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Record W4416399775 · doi:10.1111/pde.70090

Janus Kinase Inhibitors for the Treatment of Pediatric Morphea: A Systematic Review

2025· article· en· W4416399775 on OpenAlexaff
Alexa Moschella, Celina DeBiasio, Carmen Liy‐Wong

Bibliographic record

VenuePediatric Dermatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsChildren's Hospital of Eastern OntarioOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsJanus kinaseJanus kinase inhibitorTofacitinibRheumatologyPsoriatic arthritisScleroderma (fungus)ArthritisMEDLINE

Abstract

fetched live from OpenAlex

Morphea, also known as localized scleroderma (LoS), is an inflammatory, fibrosing dermatologic disorder of the skin and underlying tissues with associated comorbidities including joint contractures, limb-length discrepancies, and inflammatory arthropathy occurring more commonly in children. While standardized consensus treatment plans for pediatric LoS have been developed by the Childhood Arthritis and Rheumatology Research Alliance, the use of Janus kinase (JAK) inhibitors in the treatment of pediatric LoS has recently been reported. This review, which systematically summarizes the published literature on the use of oral and topical JAK inhibitors for pediatric LoS, identified nine studies (involving 16 patients across all studies) that met inclusion criteria with improvement following JAK inhibitor initiation reported in 94% (n = 15) of cases. Overall, these findings demonstrate that JAK inhibitors may offer a promising alternative to treat pediatric morphea; however, more robust studies are required to evaluate the efficacy of JAK inhibitors in treating pediatric LoS.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.018
GPT teacher head0.289
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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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