Efficacy and Safety of Inclisiran in Patients with Polyvascular Disease: Pooled, Post Hoc Analysis of the ORION-9, ORION-10, and ORION-11 Phase 3 Randomized Controlled Trials
Bibliographic record
Abstract
PURPOSE: Patients with polyvascular disease (PVD) are at very high cardiovascular risk and require intensive lipid-lowering therapy. This analysis describes the lipid-lowering efficacy and safety of inclisiran versus placebo in patients with and without PVD. METHODS: In this post hoc analysis of the ORION-9, ORION-10, and ORION-11 trials, patients were randomized 1:1 to receive 284 mg inclisiran (300 mg inclisiran sodium) or placebo on day 1, day 90, and 6-monthly thereafter. Percentage change in low-density lipoprotein cholesterol (LDL-C) from baseline to day 510 and corresponding time-adjusted change from day 90 and up to day 540 were evaluated per patients' PVD status. Safety was assessed over 540 days. RESULTS: Of 3454 patients, 470 (13.6%) had PVD, and 2984 (86.4%) did not. Baseline characteristics were generally balanced between the treatment arms in both cohorts. A greater proportion of patients with PVD had comorbidities versus those without. The mean (95% confidence interval [CI]) placebo-corrected LDL-C percentage change from baseline to day 510 was -48.9% (-55.6 to -42.2) in patients with PVD and -51.5% (-53.9 to -49.1) in patients without. Proportions of patients with reported treatment-emergent adverse events (TEAEs) and treatment-emergent serious adverse events were similar between treatment arms, irrespective of PVD status, except for an excess of mild or moderate clinically relevant TEAEs at the injection site with inclisiran. CONCLUSION: Twice-yearly inclisiran dosing (after the initial and 3-month doses) was well tolerated and provided effective and sustained lipid-lowering in patients, irrespective of PVD status.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.011 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".