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 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 | 0.060 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.020 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".