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Record W4384560180 · doi:10.1007/s40744-023-00576-8

Post-Marketing Safety Surveillance of Tofacitinib over 9 Years in Patients with Psoriatic Arthritis and Rheumatoid Arthritis

2023· article· en· W4384560180 on OpenAlex
Gerd R Burmester, Laura C. Coates, Stanley Cohen, Yoshiya Tanaka, Ivana Vranić, Edward Nagy, Irina Lazariciu, A. S. Chen, Kenneth Kwok, Lara Fallon, C. Kinch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRheumatology and Therapy · 2023
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsPfizer (Canada)
FundersNational Institute for Health and Care ResearchPfizer
KeywordsTofacitinibPsoriatic arthritisRheumatoid arthritisMedicineDermatologyArthritisInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: The safety of tofacitinib in psoriatic arthritis (PsA) and rheumatoid arthritis (RA) has been demonstrated in clinical studies of ≤ 4 and 9.5 years, respectively. Post-marketing surveillance (PMS) data for tofacitinib from spontaneous and voluntary adverse event (AE) reports have been published for RA, but not PsA. To inform the real-world safety profile of tofacitinib in PsA, we evaluated AE reports submitted to the Pfizer safety database (including RA data for context). METHODS: Endpoints included AEs, serious AEs (SAEs), AEs of special interest (AESIs; serious infections, herpes zoster, cardiovascular events, malignancies, venous thromboembolism), and fatal cases. Exposure was estimated using IQVIA global commercial sales data. Number, frequency, and reporting rates (RRs; number of events/100 patient-years' [PY] exposure) were summarized by indication and formulation (immediate release [IR] 5 or 10 mg twice daily], modified release [MR] 11 mg once daily, or all tofacitinib). The data-collection period differed by indication (PsA: 14 December 2017 [US approval, IR/MR] to 6 November 2021; RA: 6 November 2012 [US approval, IR] to 6 November 2021; MR approval, 24 February 2016). RESULTS: A total of 73,525 case reports were reviewed (PsA = 5394/RA = 68,131), with 20,706/439,370 PY (PsA/RA) of exposure. More AEs were reported for IR versus MR (IR/MR: PsA = 8349/7602; RA = 137,476/82,153). RRs for AEs (IR/MR: PsA = 59.6/113.4; RA = 44.0/64.8) and SAEs (PsA = 8.1/13.6; RA = 8.0/9.5) were higher with MR versus IR. AE RRs (RA) in the first 4 years after IR approval were 95.9 (IR; 49,439 PY) and 147.0 (MR; 2000 PY). Frequency of SAEs, AESIs, and fatal cases was mostly similar across formulations and indications. The most frequently-reported AE Preferred Terms (PsA/RA) included drug ineffective (20.0%/17.8%), pain (9.7%/10.6%), condition aggravated (9.9%/10.5%), headache (8.8%/7.9%) and, for PsA, off-label use (10.5%/3.4%). CONCLUSIONS: Tofacitinib PMS safety data from submitted AE reports were consistent between PsA and RA, and aligned with its known safety profile. Exposure data (lower MR versus IR; estimation from commercial sales data), reporting bias, reporter identity, and regional differences in formulation use limit interpretation.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.220
Teacher spread0.215 · 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