Analysis of tofacitinib safety in ulcerative colitis from the completed global clinical developmental program up to 9.2 years of drug exposure
Bibliographic record
Abstract
BACKGROUND AND AIMS: Tofacitinib is an oral Janus kinase inhibitor for the treatment of ulcerative colitis (UC). We report an integrated summary of tofacitinib safety from the completed global UC clinical program (9.2 years maximum tofacitinib exposure). METHODS: This analysis included patients receiving tofacitinib 5 or 10 mg twice daily (b.i.d.) from completed phase 2/3 placebo-controlled studies, an open-label, long-term extension study and a randomized phase 3b/4 study. Proportions and incidence rates (IRs; unique patients with events/100 patient-years [PY] of exposure) were evaluated for deaths and adverse events (AEs) of special interest (AESI). RESULTS: Overall, 1157 patients received ≥1 dose of tofacitinib 5 or 10 mg b.i.d.; 938 (81.1%) were in the predominant dose tofacitinib 10 mg b.i.d. group; 552 (47.7%) received tofacitinib for ≥2 years; total exposure: 3202.0 PY; 994 (85.9%) experienced AEs; 254 (22.0%) experienced serious AEs. Median treatment duration: 1.7 (range 0.0-9.2) years. IRs (95% CI) for combined tofacitinib doses: deaths 0.24 (0.10-0.48); serious infections (SIs) 1.80 (1.37-2.32); herpes zoster (HZ; non-serious and serious) 3.24 (2.63-3.94); serious HZ 0.24 (0.10-0.48); opportunistic infections 0.96 (0.65-1.36); malignancies (excluding non-melanoma skin cancer [NMSC]) 0.88 (0.59-1.26); NMSC 0.71 (0.45-1.07); major adverse cardiovascular events 0.27 (0.12-0.52); deep vein thrombosis 0.06 (0.01-0.22); pulmonary embolism 0.18 (0.07-0.40); and gastrointestinal perforations 0.09 (0.02-0.27). CONCLUSIONS: Except for HZ and SIs, IRs for AESI were <1 case/100 PY. Safety was consistent with previous analyses of shorter exposure and tofacitinib's known safety profile, including real-world data. CLINICALTRIALS: GOV: NCT00787202; NCT01465763; NCT01458951; NCT01458574; NCT01470612; NCT03281304.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".