Safety of IL-23 p19 Inhibitors for the Treatment of Patients With Moderate-to-Severe Plaque Psoriasis: A Narrative Review
Why this work is in the frame
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Bibliographic record
Abstract
The approved biologics targeting interleukin (IL)-23 p19 for the treatment of moderate-to-severe plaque psoriasis, including guselkumab, tildrakizumab, and risankizumab, have generally favorable safety profiles. The aim of the current review is to describe in detail the safety of these selective inhibitors. A literature search was performed using PubMed from inception to 1 November 2022, to identify clinical trials and real-world evidence publications using the keywords "guselkumab," "tildrakizumab," and "risankizumab." Overall, the most common adverse events (AEs) associated with IL-23 p19 inhibitors in clinical trials were nasopharyngitis, headache, and upper respiratory tract infections. Rates of serious AEs and AEs of interest, including serious infections, nonmelanoma skin cancer (NMSC), malignancies excluding NMSC, major adverse cardiovascular events, and serious hypersensitivity reactions, were not increased with long-term use in clinical trials. Selectively targeting IL-23 p19 was also not associated with elevated risk of opportunistic infections, tuberculosis reactivation, oral candidiasis, or inflammatory bowel disease. Results from real-world studies were similar, supporting the safe long-term use of these biologics in a wider population of patients with psoriasis, including older patients, patients for whom multiple biologics failed, and those with comorbidities such as obesity, metabolic syndrome, cardiovascular disease, dyslipidemia, diabetes, hypertension, and psoriatic arthritis. This review is limited by the lack of direct comparisons among therapeutic agents due to differences among study designs and safety data reporting methods. In conclusion, the favorable safety profiles of IL-23 p19 inhibitors support their long-term use in the management of patients with moderate-to-severe psoriasis.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it