Is the world ready for the STICH 3.0 trial?
Bibliographic record
Abstract
PURPOSE OF REVIEW: Coronary artery disease (CAD) is responsible for >50% of heart failures cases. Patients with ischemic left ventricular systolic dysfunction (iLVSD) are known to have poorer outcomes after percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) compared to patients with a normal ejection fraction. Nevertheless, <1% of patients in coronary revascularization trials to date had iLVSD. The purpose of this review is to describe coronary revascularization modalities in patients with iLVSD and highlight the need for randomized controlled trial evidence comparing these treatments in this patient population. RECENT FINDINGS: Network meta-analytic findings of observational studies suggest that PCI is associated with higher rates of mortality, cardiac death, myocardial infarction, and repeat revascularization but not stroke compared to CABG in iLVSD. In recent years, outcomes for patients undergoing PCI have improved as a result of advances in technologies and techniques. SUMMARY: The optimal coronary revascularization modality in patients with iLVSD remains unknown. In observational studies, CABG appears superior to PCI; however, direct randomized evidence is absent and developments in PCI techniques have improved post-PCI outcomes in recent years. The Surgical Treatment for Ischemic Heart Failure 3.0 consortium of trials will seek to address the clinical equipoise in coronary revascularization in patients with iLVSD.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".