Cardiovascular safety of ustekinumab in patients with moderate to severe psoriasis: results of integrated analyses of data from phase II and III clinical studies
Bibliographic record
Abstract
BACKGROUND: Patients with psoriasis are believed to be at an increased risk of cardiovascular (CV) morbidity, and the effect of biological agents on CV safety is not fully understood. OBJECTIVES: To evaluate the effect of ustekinumab on CV events using detailed analyses of pooled data from the phase II/III clinical studies of its use in moderate to severe psoriasis. METHODS: The incidence of major adverse CV events [MACE: myocardial infarction (MI), stroke or CV death] is reported. Meta-analyses using risk difference and odds ratio estimates are presented based on data collected during the placebo-controlled period of ustekinumab trials. The cumulative numbers of events and rates of MIs and strokes over time were compared with those expected in the psoriasis and/or general populations. RESULTS: During the placebo-controlled period (12/20 weeks), five MACE were reported in 1582 ustekinumab-treated patients [0·3%; 95% confidence interval (CI) 0·1-0·7%] compared with no events in 732 placebo-treated patients (0·0%; 95% CI 0·0-0·5%). MACE rates were stable over time during both the controlled and uncontrolled study periods, with 19 of 3117 ustekinumab-treated patients (0·6%) experiencing 21 events for a combined event rate per 100 patient-years of follow-up of 0·44 (95% CI 0·27-0·67) through up to 3 years. Standardized incidence ratios for comparison of ustekinumab clinical data with external data sources ranged from 0·34 to 0·52, suggesting no increased risk of MI or stroke in ustekinumab-treated patients compared with the general U.S. and psoriasis populations. CONCLUSIONS: The totality of available clinical data suggests neither a detrimental nor a beneficial effect of ustekinumab on serious CV events. Additional data are needed to define the net effect of ustekinumab on CV events.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".