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Ixekizumab and Malignant Neoplasms

2025· article· en· W4412121648 on OpenAlexaff
Joseph F. Merola, Kim Papp, Atul Deodhar, Andrew Blauvelt, Andris Kronbergs, Meghan Feely McDonald, Danting Zhu, Elsa Inman, Elsie Grace, Thorsten Holzkaemper, Proton Rahman, Helena Marzo‐Ortega, Alice B. Gottlieb, Sergio Schwartzman, Mark Lebwohl

Bibliographic record

VenueJAMA Dermatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsMemorial University of NewfoundlandProbity Medical ResearchUniversity of Toronto
Fundersnot available
KeywordsMedicinePsoriatic arthritisIxekizumabIncidence (geometry)Internal medicinePsoriasisPopulationCohortOncologyArthritisDermatologySecukinumab

Abstract

fetched live from OpenAlex

Importance: Assessing malignant neoplasm risk among patients with long-term biologic exposure is of interest. This study provides insight into the risk of malignant neoplasm among patients with psoriasis (PsO), psoriatic arthritis (PsA), or axial spondyloarthritis (axSpA) who received ixekizumab (IXE) over time. Objective: To determine the incidence of malignant neoplasms among patients with PsO, PsA, or axSpA who received long-term (up to 6 years) IXE treatment, and to compare the recorded incidences (excluding nonmelanoma skin cancer) with those observed in the US general population. Design, Setting, and Participants: This multicenter, global pooled analysis examined patient data from 25 randomized clinical trials (RCTs) in patients with PsO, PsA, or axSpA receiving at least 1 dose of IXE over 5 years (PsO) or 3 years (PsA and axSpA). Eligibility criteria varied across the 25 RCTs, but most of the patients were naive to biologic treatments. The primary analysis was performed in March 2021 (PsA) and March 2022 (PsO and axSpA). Intervention: Long-term treatment with IXE. Main Outcomes and Measures: Incidence rates of malignant neoplasms and standardized incidence ratios (SIRs). Results: The mean age across the 3 indications was 45.9 years; most patients in the PsO and axSpA cohorts were male (4696/6892 [68.1%] and 650/932 [69.7%], respectively), whereas the proportion of male to female patients in the PsA cohort was largely balanced (679/1401 [48.5%] vs 722/1401 [51.5%], respectively). The study included 6892 patients with PsO, 1401 patients with PsA, and 932 patients with axSpA, representing a cumulative exposure to IXE of 22 371.1 patient-years (PY) (18 025.7 PY for PsO, 2247.7 PY for PsA, and 2097.7 PY for axSpA). Malignant neoplasms were reported among 141 patients with PsO (2.0%; incidence rate [IR], 0.8 per 100 PY [95% CI, 0.7-0.9]), 15 patients with PsA (1.1%; IR, 0.7 per 100 PY [95% CI, 0.4-1.1]), and 9 patients with axSpA (1.0%; IR, 0.4 per 100 PY [95% CI, 0.2-0.8]). IRs of malignant neoplasms at 1-year intervals remained low (≤1.2 per 100 PY) and constant over time. SIRs with 95% CIs were below or near 1 (PsO, 0.89 [95% CI, 0.71-1.08]; PsA, 0.49 [95% CI, 0.13-0.85]; axSpA, 1.07 [95% CI, 0.37-1.77]). Conclusions and Relevance: This pooled analysis of 25 RCTs demonstrated that the safety profile of IXE supports long-term use in patients with PsO, PsA, or axSpA. This is evidenced by incidences of malignant neoplasms consistent with previous reports, and with SIRs of malignant neoplasms across indications similar to the US general population.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.261
Teacher spread0.254 · 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 designNot applicable
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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Citations3
Published2025
Admission routes1
Has abstractyes

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