Percutaneous Coronary Intervention Versus Coronary Artery Bypass Grafting for Patients With Three Vessel Coronary Artery Disease
Bibliographic record
Abstract
OBJECTIVES: Referral patterns and outcomes of percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) were compared between 2 centers within 1 jurisdiction wherein only 1 center utilizes multidisciplinary review for all patients. BACKGROUND: Management of advanced coronary artery disease often involves PCI and CABG for improvements in quality of life and survival. Indications exist for PCI and CABG, with CABG demonstrating benefit in three-vessel disease (TVD). METHODS: A total of 27,961 patients underwent cardiac catheterization in 2 centers within the same single-payer health jurisdiction (Center A and B) from 2017 to 2018. Rates of PCI, CABG, and outcomes of 1-year mortality, rehospitalization, myocardial infarction, and stroke were compared. RESULTS: More patients in Center A received PCI and less received CABG compared with Center B even among patients with TVD ( P <0.001). Multivariable logistic regression identified Center B as protective for mortality for TVD patients ( P <0.001) and those undergoing PCI ( P =0.004), but not CABG ( P =0.06). Center A's 1-year mortality was increased for all patients ( P =0.004) and those with TVD ( P =0.011). CONCLUSION: Discordant outcomes exist between these 2 centers. While patients in Center A were more likely to undergo PCI than Center B and experienced decreased 1-year survival, the difference was not significant for CABG. In part, the differences are attributable to contrasting referral practices and the discrepant rates of PCI and CABG between centers. Review of all coronary artery disease patients with a multidisciplinary Heart Team including a surgical opinion may lead to a more evidence-based referral practice aligned with current clinical guidelines.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".