Coronary Revascularization in Diabetic Patients
Bibliographic record
Abstract
BACKGROUND: The optimal revascularization technique in diabetic patients is an important unresolved question. PURPOSE: To compare long-term outcomes between the revascularization techniques of percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG). DATA SOURCES: English-language publications in PubMed, the Cochrane Central Register of Controlled Trials, Ovid, and EMBASE between 1 January 1990 and 1 June 2014. STUDY SELECTION: Two investigators independently reviewed randomized, controlled trials comparing PCI (with drug-eluting or bare-metal stents) with CABG in adults with diabetes with multivessel or left main coronary artery disease. DATA EXTRACTION: Study design, quality, patient characteristics, length of follow-up, and outcomes were extracted. For duplicate publications, outcomes were obtained from the publication with the longest follow-up. DATA SYNTHESIS: 40 studies were combined using a Bayesian network meta-analysis that accounted for the variation in stent choice. The primary outcome, a composite of all-cause mortality, nonfatal myocardial infarction, and stroke, increased with PCI (odds ratio [OR], 1.33 [95% credible interval {CrI}, 1.01 to 1.65]). Percutaneous coronary intervention resulted in increased mortality (OR, 1.44 [CrI, 1.05 to 1.91]), no change in the number of myocardial infarctions (OR, 1.33 [CrI, 0.86 to 1.95]), and fewer strokes (OR, 0.56 [CrI, 0.36 to 0.88]). LIMITATIONS: Study design and length of follow-up were heterogeneous, and results were driven primarily by a single study. Costs and nonvascular complications of the interventions were not examined. CONCLUSION: Coronary artery bypass grafting seems to be the preferred revascularization technique in diabetics, especially if long-term survival is anticipated. However, because of residual uncertainties and increased risk for stroke with CABG, clinical judgment is required when choosing a revascularization technique in patients with diabetes. PRIMARY FUNDING SOURCE: Fonds de recherche du Québec-Santé.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".