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Record W4385331231 · doi:10.1002/msc.1802

Clinical efficacy of JAK inhibitors on enthesitis in spondyloarthropathy: A scoping literature review

2023· article· en· W4385331231 on OpenAlexaboutno aff
Ameen Jubber, Hasan Tahir, Arumugam Moorthy

Bibliographic record

VenueMusculoskeletal Care · 2023
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEnthesitisSpondyloarthropathyMedicineAnkylosing spondylitisTofacitinibEnthesisInternal medicinePhysical therapySurgeryArthritisRheumatoid arthritisPsoriatic arthritis

Abstract

fetched live from OpenAlex

BACKGROUND: Enthesitis is a key feature of spondyloarthropathy (SpA). In recent years, JAK inhibitors have emerged as efficacious drugs in the landscape of advanced therapies for patients with SpA. METHOD: The aim of this scoping literature review was to search the published literature for studies on JAK inhibitors and their effects on enthesitis in patients with SpA and evaluate the data and summarise the findings. The clinical trials reviewed used the Leeds Enthesitis Index, Spondyloarthritis Research Consortium of Canada Enthesitis Index, and Maastrich Ankylosing Spondylitis Enthesitis Score as outcome measures. RESULTS: Tofacitinib, upadacitinib, and filgotinib had numerically greater reductions in the enthesitis scores when compared with placebo. CONCLUSION: While the JAK inhibitors are therapeutic options for enthesitis in SpA, head-to-head studies are needed to compare the JAK inhibitors against the biological drugs (targeting TNF, IL-17, and IL-12/23) as well as studies showing the effects of JAK inhibitors on enthesitis imaging.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.021
GPT teacher head0.363
Teacher spread0.342 · 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 designObservational
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

Citations5
Published2023
Admission routes1
Has abstractyes

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