Treatment of Psoriasis with Secukinumab in Challenging Patient Scenarios: A Review of the Available Evidence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Psoriasis (PsO) is a common, systemic, chronic, inflammatory disease characterized by key clinical symptoms, including itching, pain, and scaling. PsO is associated with a high prevalence of comorbidities, including other autoimmune diseases and malignancies. Furthermore, special populations, such as pregnant, pediatric, and elderly patients, and those with erythrodermic PsO, are challenging to treat and require tightly monitored disease and treatment management. Because certain populations have demographic or clinical characteristics that can affect the presentation of PsO and complicate treatment responses, these patient populations are largely excluded from clinical trials; therefore, most clinical evidence for the treatment of these patients is derived from case reports and series. Secukinumab, a fully human monoclonal interleukin-17A antibody, has been shown in several clinical trials to be effective and safe for the treatment of PsO; however, these studies offer only limited data on the use of secukinumab in patients with chronic illnesses or in special populations. This review explores the use of secukinumab for PsO in special populations, including pregnant women, children, elderly people, patients with erythrodermic PsO, and those with chronic illnesses, including latent tuberculosis, hepatitis B and C, HIV, multiple sclerosis, and malignancies.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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