Efficacy and safety of inclisiran in patients with cerebrovascular disease: ORION-9, ORION-10, and ORION-11
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
Patients with cerebrovascular disease (CeVD) have been shown to benefit from lipid-lowering therapies, but guideline-recommended levels of low-density lipoprotein cholesterol (LDL-C) are often not attained with statin treatment alone. The ORION-9, ORION-10, and ORION-11 trials evaluated the efficacy and safety of inclisiran in 3660 primary and secondary prevention patients with hyperlipidemia despite maximum tolerated statin treatment. This pooled post hoc analysis comprised 202 randomized patients from those trials with established CeVD who had received either 284 mg inclisiran (equivalent to 300 mg inclisiran sodium, n = 110) or placebo (n = 92) on Days 1, 90, and 6-monthly thereafter up to Day 540. At baseline, mean (SD) LDL-C was 108.4 (34.3) mg/dL and 110.5 (35.3) mg/dL in inclisiran and placebo arms, respectively. Inclisiran produced a mean (95% CI) placebo-corrected percentage change in LDL-C from baseline to Day 510 of –55.2 (–64.5 to –45.9; p < 0.0001); the corresponding time-adjusted percentage change from baseline after Day 90 and up to Day 540 was –55.2 (–62.4 to –47.9; p < 0.0001). Treatment-emergent adverse events (TEAEs) and TEAEs at the injection site, mostly mild, were more frequent with inclisiran versus placebo (82.7% vs 70.7% and 3.6% vs 0%, respectively). In patients with CeVD, twice-yearly dosing with inclisiran (after the initial and 3-month doses) in combination with maximally tolerated statins provided effective and consistent LDL-C reductions and was well tolerated.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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