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Record W4416141127 · doi:10.25251/n1p8w126

Integrated Safety Analysis of Abrocitinib in 3850 Patients With Moderate-To-Severe Atopic Dermatitis: Data From More Than 9600 Patient-Years With Up to 6.5 Years of Exposure

2025· article· W4416141127 on OpenAlexaff
Eric L. Simpson, Alan D. Irvine, Jan Gutermuth, Chih-ho Hong, Raj Chovatiya, Emma Guttman‐Yassky, Haiyun Fan, Gary Chan, Cristina Lumpan, Justine Alderfer, Herwig Koppensteiner

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2025
Typearticle
Language
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversity of British Columbia
FundersPfizer
KeywordsAdverse effectIncidence (geometry)CohortPopulationClinical trialJanus kinase inhibitorCohort study

Abstract

fetched live from OpenAlex

Introduction: Atopic dermatitis (AD) is a chronic, inflammatory skin disease that may require long-term disease management. The oral, once-daily Janus kinase 1–selective inhibitor abrocitinib has demonstrated efficacy through 112 weeks in patients with moderate-to-severe AD. Previous integrated safety analyses assessed adverse events of special interest (AESIs) by age and smoking status in 3802 patients (>5200 patient years [PY]; 4 years of abrocitinib exposure) and by age and cardiovascular (CV) risk factors in 3848 patients (>7000 PY; 4.5 years exposure). This study evaluated safety events stratified by age and smoking status using data from patients with ≥6.5 years of abrocitinib exposure. Procedure/study: Analysis included patients from 8 clinical trials (phase 2b [NCT02780167], JADE MONO-1 [NCT03349060], MONO-2 [NCT03575871], REGIMEN [NCT03627767], COMPARE [NCT03720470], TEEN [NCT03796676], MOA [NCT03915496], and DARE [NCT04345367]) and 1 long-term extension trial (JADE EXTEND [NCT03422822]; data cutoff: Dec 31, 2024). Incidence rates (IRs; number of patients with events/100 PY) of AESIs were assessed by age (<18; 18 to <40; 40 to <50; 50 to <65; and ≥65 years) and smoking status (never; current/former smoker). Results: Of 3850 patients in the pooled safety population (9655.4 PY exposure), 3052 received the same abrocitinib dose (consistent-dose cohort) and 798 patients comprised the variable-dose cohort. IRs in the consistent-dose cohort were numerically higher in older vs younger patients for major adverse CV events (MACEs; <18 years: 0.07 [0.00-0.42]; 18 to <40 y: 0.14 [0.04-0.32]; 40 to <50 y: 0.09 [0.00-0.51]; 50 to <65 y: 0.79 [0.32-1.63]; and ≥65 y: 2.03 [0.74-4.41]) and death (<18 years: 0.00 [95% CI, 0.00-0.28]; 18 to <40 y: 0.05 [0.01-0.20]; 40 to <50 y: 0.09 [0.00-0.51]; 50 to <65 y: 0.34 [0.07-0.99]; and ≥65 years 2.02 [0.74-4.40]). Similar trends were observed for other AESIs, including serious infections, herpes zoster, malignancies (excluding nonmelanoma skin cancer [NMSC]), NMSC, and venous thromboembolism (VTE). IRs for serious infections, malignancies (excluding NMSC), NMSC, MACE, VTE, and death were numerically higher in current/former smokers vs never smokers; herpes zoster IRs were comparable between smoking groups. Data from the variable-dose cohort generally showed similar trends. Conclusion: These long-term follow-up abrocitinib safety data in patients with >9600 PY of exposure are consistent with previously reported risk profiles. IRs tended to be higher in older patients and current/former smokers. Funding/Disclosures: This study was funded by Pfizer.

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)0.006
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.258
Teacher spread0.250 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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