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Record W4412600941 · doi:10.25251/ed52rz19

Updated Integrated Safety Analysis of Ritlecitinib Over 72 Months In Patients With Alopecia Areata From the ALLEGRO Clinical Trial Program

2025· article· en· W4412600941 on OpenAlexaff
Maryanne M. Senna, Sameh Hanna, Rie Ueki, Xingqi Zhang, Crystal Aguh, Bianca Maria Piraccini, Edward Nagy, Alexandre Lejeune, Mojgan Sadrarhami, Simon Chen, Robert Wołk

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsUniversity of Toronto
FundersGaldermaL'Oreal USALEO PharmaPfizerEli Lilly and Company
KeywordsAlopecia areataMedicineDermatologyClinical trialFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Ritlecitinib, an oral, selective JAK3/TEC family kinase inhibitor, demonstrated efficacy and safety up to 48 weeks in patients aged ≥12 years with alopecia areata (AA) in the ALLEGRO phase 2b/3 study (NCT03732807). This updated integrated safety analysis evaluated the safety of ritlecitinib over 72 months in patients with AA in two phase 2a studies (NCT04517864; NCT02974868), the phase 2b/3 study, and an ongoing long-term, phase 3, open-label study (NCT04006457) from the ALLEGRO program. Methods: Safety data were pooled from the 4 studies. Proportions and incidence rates (IRs; IR/100 patient-years [PYs]) of adverse events (AEs) are reported for the any-ritlecitinib (any dose) and ritlecitinib 50-mg ± 200-mg (50 mg ± 4-week 200-mg loading dose) groups. These analysis groups are not additive and are overlapping populations, with the any-ritlecitinib group including all patients. Results: In the any-ritlecitinib (n=1294) and 50-mg ± 200-mg (n=1228) groups, median duration of exposure was 1204 (3539.5 PYs) and 1197 (3261.5 PYs) days, respectively. AEs occurred in 1158 (89.5%; 167.9/100 PYs) and 1070 (87.1%; 148.1/100 PYs) patients in the any-ritlecitinib and 50-mg ± 200-mg groups, respectively. The most common AEs included headache, positive SARS-CoV-2 test, and nasopharyngitis. Serious AEs occurred in 88 (6.8%; 2.5/100 PYs) patients in the any-ritlecitinib group and 84 (6.8%; 2.6/100 PYs) patients in the 50-mg ± 200-mg group, and included 2 deaths (breast cancer and acute respiratory failure/cardiorespiratory arrest) in the 50-mg ± 200-mg group. Discontinuations due to AEs occurred in 7.0% and 6.6% in the any-ritlecitinib and 50-mg ± 200-mg groups, respectively. IRs for both groups were 0.1/100 PYs for opportunistic infections; 1.0/100 PYs for herpes zoster; 0.3/100 PYs for malignancies, excluding nonmelanoma skin cancer; and 0.2/100 PYs for major adverse cardiovascular events. Conclusion: Ritlecitinib was generally well tolerated over 72 months in patients with AA. Safety was consistent with previous data.

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)0.015
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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.321
Teacher spread0.309 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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