Comparative Efficacy of Percutaneous Coronary Intervention Versus Coronary Artery Bypass Grafting in the Treatment of Ischemic Heart Disease: A Systematic Review and Meta-Analysis of Recent Randomized Controlled Trials
Bibliographic record
Abstract
Background: Ischemic heart disease (IHD) is a major global health issue and a leading cause of death. This study compares the effectiveness of percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) in the management of IHD, focusing on their impact on revascularization, myocardial infarction (MI), and post-procedural stroke. This study aimed to evaluate and compare the effectiveness of PCI and CABG in treating IHD based on an exhaustive literature review of the past 5 years, emphasizing recent advancements and outcomes in IHD management. Methods: A comprehensive literature review analyzed 32 randomized controlled trials (RCTs) retrieved from databases such as PubMed, Cochrane Library, and Google Scholar. The study specifically assessed the incidences of revascularization, stroke, and MI in patients treated with either PCI or CABG. The comparison between CABG and PCI exclusively focused on lesions with a SYNTAX score exceeding 32. Results: Our findings highlight CABG's significant efficacy over PCI in reducing revascularization and MI. The aggregated Mantel-Haenszel (M-H) value for revascularization was 1.85 (95% confidence interval (CI): 1.65 - 2.07), signifying CABG's advantage. Additionally, CABG demonstrated superior performance in diminishing MI occurrences (M-H = 2.71, 95% CI: 1.13 - 6.53). In contrast, PCI was more effective in reducing stroke (M-H = 0.80, 95% CI: 0.60 - 1.10). Conclusion: The study confirms CABG's superiority in reducing revascularization and MI in IHD patients, highlighting PCI's effectiveness in reducing stroke risk. These findings underscore the importance of personalized treatment strategies in IHD management and emphasize the need for ongoing research and evidence-based guidelines to aid in treatment selection for IHD patients.
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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 | 0.027 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.066 | 0.020 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".