Evaluating bococizumab, a monoclonal antibody to PCSK9, on lipid levels and clinical events in broad patient groups with and without prior cardiovascular events: Rationale and design of the Studies of PCSK9 Inhibition and the Reduction of vascular Events (SPIRE) Lipid Lowering and SPIRE Cardiovascular Outcomes Trials
Bibliographic record
Abstract
BACKGROUND: Although statins significantly reduce vascular event rates, residual cholesterol risk remains high in many patient groups, including those with known vascular disease as well as in the setting of high-risk primary prevention. Bococizumab is a humanized monoclonal antibody that inhibits proprotein convertase subtilisin-kexin type 9 (PCSK9), prolongs the half-life of hepatic low-density lipoprotein (LDL) receptors, and reduces circulating atherogenic cholesterol levels. DESIGN: The SPIRE program comprises 6 lipid-lowering studies and 2 cardiovascular outcomes trials, each comparing bococizumab (150 mg subcutaneously every 2 weeks) to matching placebo. The 6 SPIRE lipid-lowering studies include 3 parallel 12-month assessments of bococizumab on atherogenic lipids among statin-treated individuals at high residual risk (SPIRE-HR, SPIRE-LDL, SPIRE-LL), one 12-month study of bococizumab among individuals with familial hypercholesterolemia (SPIRE-FH), one 6-month study of bococizumab among those with statin intolerance (SPIRE-SI), and one 3-month study of bococizumab delivery using an auto-injector device (SPIRE-AI). The SPIRE-1 and SPIRE-2 event-driven cardiovascular outcome trials will assess the efficacy and safety of bococizumab in the prevention of incident vascular events in high-risk populations with and without clinically evident cardiovascular disease who have directly measured entry LDL cholesterol levels ≥70 mg/dL (SPIRE-1, n = 17,000) or ≥100 mg/dL (SPIRE-2, n = 11,000). SUMMARY: The SPIRE trials, inclusive of more than 30,000 participants worldwide, will ascertain the magnitude of reduction in atherogenic lipids that accrue with bococizumab and determine whether the addition of this PCSK9 inhibitor to standard treatment significantly reduces cardiovascular morbidity and mortality in high-risk patients, including those without a history of clinical cardiovascular 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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".