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Thirteenth International Congress on Spondyloarthritides

2022· article· en· W4293787177 on OpenAlexaff
Francesco Ciccia, Walter P. Maksymowych

Bibliographic record

VenueClinical and Experimental Rheumatology · 2022
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Alberta
FundersJanssen Research and DevelopmentChugai PharmaceuticalUCB PharmaUniversity of California, San DiegoSamsungJanssen Scientific AffairsGigtforeningenVersus ArthritisCelgeneGilead SciencesAarhus UniversitetSanofiNovartis PharmaNovartisAmgenPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineDermatology

Abstract

fetched live from OpenAlex

Over the past ten years drugs targeting of the Janus kinases (JAKs) have entered the clinical armamentarium and first generation pan-JAK inhibitors (JAKi) are now used worldwide for the treatment of autoimmune diseases as well as malignancies.Studies on the mechanism of action of successful JAK inhibitors have revealed that, besides T and B cells, they act on innate immune cells and can promote tolerance.For this reason, JAKi are proving to be useful for a variety of immunological diseases ranging from hematological malignancies, rheumatoid arthritis, psoriatic arthritis, diabetic nephropathies, alopecia to rare inflammatory diseases.More selective, second-generation JAKi are now being developed and some have already reached the late stages of clinical development for several of immune-mediated pathologies I will review the most recent findings related to JAKis' mechanism of action, discuss their role in Spondyloarthritis and some of the newest diseases for which inhibition of the JAK-STAT pathway is proving to be a successful therapeutic approach or is being actively investigated. INV3

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.385
Teacher spread0.343 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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