Impact of ustekinumab on health‐related quality of life and sexual difficulties associated with psoriasis: results from two phase III clinical trials
Bibliographic record
Abstract
BACKGROUND: Ustekinumab, a human anti-interleukin-12/23 monoclonal antibody, has been shown to effectively treat moderate-to-severe psoriasis which significantly affects health-related quality of life (HRQoL), including patients' sexual lives. OBJECTIVES: The aim of this study was to determine if sexual difficulties associated with psoriasis are related to disease severity and whether sexual difficulties improve with skin disease during ustekinumab treatment. METHODS: In phase III PHOENIX 1 and 2 trials, psoriasis patients were randomized to ustekinumab (n=1334) at weeks 0 and 4 and q12 weeks thereafter or placebo (n=662) at weeks 0 and 4 with crossover to ustekinumab at week 12. Psoriasis Area and Severity Index (PASI) and Dermatology Life Quality Index (DLQI) were used to assess psoriasis severity and patient-reported HRQoL respectively. Based on DLQI Question #9, impaired sexual function was defined as 'very much' or 'a lot' of sexual difficulties. RESULTS: At baseline, mean DLQI was 12.0, indicating a very large negative effect on patients' lives. Impaired sexual function was reported by 22.6% (women=27.1%; men=20.8%) and was significantly associated with increased psoriasis severity. At week 12, ustekinumab-treated patients had a greater mean improvement in DLQI (-9.13 vs. -0.53 with placebo, P<0.001) and the proportion of patients with impaired sexual function decreased from 22.4% to 2.7% compared with no change with placebo (P<0.001). Patients with greater PASI improvement experienced a greater reduction of sexual difficulties due to psoriasis. A similar pattern of improved sexual function was observed at weeks 24-28 in placebo crossover patients. CONCLUSIONS: Ustekinumab treatment is associated with significant improvement in HRQoL and sexual difficulties due to psoriasis.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".