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Record W2980414489

Tofacitinib in the Treatment of Rheumatoid Arthritis and Chronic Plaque Psoriasis.

2017· article· en· W2980414489 on OpenAlexaff
Aditya K. Gupta, Maria Cernea, Charles Lynde

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsLynde Centre for DermatologyMediprobe Research (Canada)
Fundersnot available
KeywordsTofacitinibPsoriasisMedicineRheumatoid arthritisJanus kinase inhibitorDermatologyAdverse effectJanus kinaseClinical trialPlaque psoriasisPsoriatic arthritisUpper respiratory tract infectionPlaceboArthritisInternal medicinePharmacologyPathologyReceptor
DOInot available

Abstract

fetched live from OpenAlex

Tofacitinib is an oral immunosuppressant approved for the treatment of rheumatoid arthritis (RA) and is currently undergoing investigation (Phase III trials) for treating chronic plaque psoriasis. Tofacitinib inhibits Janus kinases (JAKs), which are essential for the signaling of multiple inflammatory pathways and have been implicated in the pathogenesis of RA and psoriasis. The efficacy and safety of tofacitinib in the treatment of RA and psoriasis have been demonstrated in Phase III trials. Across all studies, the efficacy of tofacitinib in alleviating symptoms of RA and psoriasis were superior to placebo. Moreover, treatment was generally well-tolerated, with the most frequently reported adverse events, for both RA and psoriasis, being nasopharyngitis and upper respiratory tract infection. As such, tofacitinib proves to be an effective therapeutic option for RA and a promising new therapy for psoriasis.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.028
GPT teacher head0.270
Teacher spread0.243 · 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 designNot applicable
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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicRheumatoid Arthritis Research and Therapies→French-language works237,207→