Treatment strategies in ischaemic left ventricular dysfunction: a network meta-analysis
Bibliographic record
Abstract
OBJECTIVES: The optimal revascularization strategy for patients with ischaemic left ventricular systolic dysfunction (iLVSD) remains controversial. We aimed to compare percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG) and medical therapy (MT) in a network meta-analysis. METHODS: All randomized controlled trials and observational studies comparing any combination of PCI, CABG and MT in patients with iLVSD were analysed in a frequentist network meta-analysis (generic inverse variance method). Primary outcome was mortality at longest available follow-up. Secondary outcomes were cardiac death, stroke, myocardial infarction (MI) and repeat revascularization (RR). RESULTS: Twenty-three studies were included (n = 23 633; 4 randomized controlled trials). Compared to CABG, PCI was associated with higher mortality [incidence rate ratio (IRR) 1.32, 95% confidence interval (CI) 1.13-1.53], cardiac death (IRR 1.65, 95% CI 1.18-2.33), MI (IRR 2.18, 95% CI 1.70-2.80) and RR (IRR 3.75, 95% CI 2.89-4.85). Compared to CABG, MT was associated with higher mortality (IRR 1.52, 95% CI 1.26-1.84), cardiac death (IRR 3.83, 95% CI 2.12-6.91), MI (IRR 3.22, 95% CI 1.52-6.79) and RR (IRR 3.37, 95% CI 1.67-6.79). Compared to MT, PCI was associated with lower cardiac death (IRR 0.43, 95% CI 0.24-0.78). CABG ranked as the best revascularization strategy for mortality, cardiac death, MI and RR; MT ranked as the strategy associated with the lowest incidence of stroke. Left ventricular ejection fraction, year of study, use of drug-eluting stents did not affect relative treatment effects. CONCLUSIONS: CABG appears to be the best therapy for iLVSD, although mainly based on observational data. Definitive randomized controlled trials comparing CABG and PCI in iLVSD are required. PROSPERO REGISTRATION ID: 132414.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| 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 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".