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Record W4296483181 · doi:10.1093/ecco-jcc/jjac141

Tofacitinib for the Treatment of Ulcerative Colitis: An Integrated Summary of up to 7.8 Years of Safety Data from the Global Clinical Programme

2022· article· en· W4296483181 on OpenAlexaff
William J. Sandborn, Geert D’Haens, Bruce E. Sands, Remo Panaccione, Siew C. Ng, Nervin Lawendy, Nicole Kulisek, Irene Modesto, Xiang Guo, Rajiv Mundayat, Chinyu Su, Ivana Vranić, Julián Panés

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
FundersPfizer
KeywordsTofacitinibMedicineJanus kinase inhibitorAdverse effectUlcerative colitisInternal medicineIncidence (geometry)Gastroenterology

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Tofacitinib is an oral small molecule Janus kinase [JAK] inhibitor for the treatment of ulcerative colitis. We report an integrated summary of tofacitinib safety [exposure: ≤7.8 years] from the global clinical programme. METHODS: Patients receiving tofacitinib 5 or 10 mg twice daily [BID] from completed phase [P]2/3 placebo-controlled studies, an open-label, long-term extension study [final data cut-off: August 24, 2020], and interim analysis of a P3b/4 study (interim data cut-off: February 20, 2020; Overall plus P3b/4 [2020] Cohort) were included. Proportions with adverse events [AEs] and serious AEs, and incidence rates [IRs; unique patients with events/100 patient-years] for deaths and AEs of special interest [AESI] were evaluated. Opportunistic infections, malignancies, major adverse cardiovascular events [MACE] and gastrointestinal perforations were adjudicated. RESULTS: In total, 1157 patients received one or more dose of tofacitinib (mean duration: 946.9 days); 955/1157 [83%] received a predominant dose of 10 mg BID; 412/1157 [35.6%] received tofacitinib for >4 years; 992/1157 [85.7%] had AEs, 244/1157 [21.1%] had serious AEs and 134/1157 (11.6%) discontinued use due to AEs. IRs [95% confidence intervals] for all tofacitinib doses were: deaths, 0.23 [0.09-0.46]; serious infections, 1.69 [1.26-2.21]; herpes zoster [non-serious and serious], 3.30 [2.67-4.04]; opportunistic infections, 1.03 [0.70-1.46]; malignancies (excluding non-melanoma skin cancer [NMSC]), 0.84 [0.55-1.24]; NMSC, 0.73 [0.45-1.10]; MACE, 0.29 [0.13-0.55]; deep vein thrombosis, 0.03 [0.00-0.18]; pulmonary embolism, 0.19 [0.07-0.42]; gastrointestinal perforations, 0.10 [0.02-0.28]. CONCLUSIONS: AESI IRs were stable to 7.8 years and generally <2.0 in the Overall plus P3b/4 [2020] Cohort, with the exception of herpes zoster [a known risk of tofacitinib treatment]. ClinicalTrials.gov:NCT00787202;NCT01465763;NCT01458951;NCT01458574;NCT01470612;NCT03281304JCC Topic/keyword selection: 3. Clinical trials.

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)0.024
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.337
Teacher spread0.295 · 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 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

Citations79
Published2022
Admission routes1
Has abstractyes

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