Medical therapy and outcomes in REVIVED-BCIS2 and STICHES: an individual patient data analysis
Bibliographic record
Abstract
BACKGROUND AND AIMS: In the Surgical Treatment for Ischaemic Heart Failure Trial Extension Study (STICHES), coronary artery bypass grafting (CABG) improved outcomes of patients with ischaemic left ventricular dysfunction receiving medical therapy, whereas in the Revascularization for Ischaemia Ventricular Dysfunction trial (REVIVED-BCIS2), percutaneous coronary intervention (PCI) did not. The aim of this study was to explore differences in outcomes of participants treated with medical therapy alone in STICHES vs. REVIVED-BCIS2 and to assess the incremental benefit of CABG or PCI. METHODS: Pooled analysis of adjusted individual participant data from two multicentre randomized trials. All patients had left ventricular ejection fraction ≤35% and coronary artery disease and received medical therapy. Participants were randomized 1:1 to CABG (STICHES) or PCI (REVIVED-BCIS2). The primary outcome was the composite of all-cause death and hospitalization for heart failure over all available follow-up. RESULTS: A total of 1912 participants (88% male, 76% white ethnicity) were included with 98.3% completeness of follow-up for the primary outcome. The median follow-up was 118 months in STICHES and 41 months in REVIVED-BCIS2. Those receiving medical therapy alone in REVIVED-BCIS2 had fewer primary outcome events than those receiving medical therapy alone in STICHES (adjusted hazard ratio 0.60, 95% confidence interval 0.48-0.74, P < .001). Patients receiving PCI in REVIVED-BCIS2 were less likely to experience a primary outcome event than those receiving CABG in STICHES. Adjusted outcomes of patients treated with CABG in STICHES were worse than those receiving medical therapy alone in REVIVED-BCIS2. CONCLUSIONS: Patients with ischaemic cardiomyopathy receiving medical therapy in REVIVED-BCIS2 had better outcomes than those in STICHES, with or without CABG surgery. Further trials comparing CABG, PCI, and medical therapy in this population are warranted.
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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 | 0.034 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.012 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".