MétaCan
Menu
Back to cohort
Record W4399551060 · doi:10.2147/oarrr.s446431

Tofacitinib Monotherapy in Rheumatoid Arthritis: Clinical Trials and Real-World Data Contextualization of Patients, Efficacy, and Treatment Retention

2024· article· en· W4399551060 on OpenAlexaff
Janet Pope, Axel Finckh, Lucía Silva-Fernández, Péter Mandl, Haiyun Fan, Jose L. Rivas, M. Valderrama, María Montoro

Bibliographic record

VenueOpen Access Rheumatology Research and Reviews · 2024
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsWestern University
FundersPfizer
KeywordsTofacitinibRheumatoid arthritisMedicineContextualizationRandomized controlled trialClinical trialInternal medicineReal world dataPhysical therapyData scienceComputer science

Abstract

fetched live from OpenAlex

Purpose: To evaluate the characteristics, efficacy, and retention of tofacitinib monotherapy in patients with rheumatoid arthritis using data from randomized controlled trials (RCTs) and real-world data (RWD). Patients and Methods: Three patient groups receiving tofacitinib 5 mg twice daily (BID) monotherapy were defined for post hoc RCT/long-term extension (LTE) analyses: (1) disease-modifying antirheumatic drug (DMARD)-inadequate responder patients from phase 3/3b/4 RCTs; (2) methotrexate-naïve patients from a phase 3 RCT; and (3) index study patients continuing in an LTE study. Outcomes included low disease activity (LDA)/remission rates defined by Clinical Disease Activity Index (CDAI); Disease Activity Score in 28 joints (DAS28-4), erythrocyte sedimentation rate; DAS28-4, C-reactive protein (DAS28-4[CRP]); and rates of/time to discontinuation due to lack of efficacy/adverse events. RWD were identified by non-systematic literature searches of PubMed, Embase, and American College of Rheumatology/European Alliance of Associations for Rheumatology congress abstracts (2012-2022). Results: RCT/LTE analyses included 1000/498 patients receiving tofacitinib 5 mg BID monotherapy. Baseline disease activity was high; patients tended to receive concomitant glucocorticoids; most were biologic DMARD-naïve. CDAI LDA rates were 32.2-62.2% for Groups 1/2 (months 3-12) and 64.0-70.7% for Group 3 (months 12-72). In Groups 1, 2, and 3, 4.0%, 15.6%, and 27.7% of patients, respectively, discontinued tofacitinib monotherapy due to lack of efficacy/adverse events. From 11 RWD publications, 16.6-66.1% received tofacitinib monotherapy. Consistent with clinical data, tofacitinib monotherapy effectiveness (month 6 CDAI LDA, 30.2%; month 3 DAS28-4[CRP] remission, 53.4%) and persistence were observed in RWD, with retention comparable to tofacitinib combination therapy. Conclusion: Tofacitinib monotherapy demonstrated clinically significant responses/persistence in RCT/LTE analyses, with effectiveness observed and persistence comparable to combination therapy in RWD. Trial Registration: NCT00814307, NCT02187055, NCT01039688, NCT00413699, NCT00661661 (ClinicalTrials.gov).

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)0.014
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.650
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.530
GPT teacher head0.592
Teacher spread0.062 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueOpen Access Rheumatology Research and ReviewsSame topicRheumatoid Arthritis Research and TherapiesFrench-language works237,207