Fractional Flow Reserve–Guided Versus Angiography-Guided Coronary Artery Bypass Graft Surgery
Bibliographic record
Abstract
BACKGROUND: Fractional flow reserve (FFR) is well established for patients undergoing percutaneous coronary intervention, yet little is known about candidates for coronary artery bypass graft surgery. METHODS AND RESULTS: From 2006 to 2010, we retrospectively included in this registry 627 consecutive patients treated by coronary artery bypass graft surgery having at least 1 angiographically intermediate stenosis. In 429 patients, coronary artery bypass graft surgery was based solely on angiography (angiography-guided group). In 198 patients, at least 1 intermediate stenosis was grafted with an FFR ≤0.80 or deferred with an FFR >0.80 (FFR-guided group). The end point was major adverse cardiovascular events at 3 years, defined as the composite of overall death, myocardial infarction, and target vessel revascularization. The rate of angiographic multivessel disease was similar in the angiography-guided and FFR-guided groups (404 [94.2%] versus 186 [93.9%]; P=0.722). In the FFR-guided group, this was significantly downgraded after FFR measurements to 86.4% (P<0.001 versus before FFR) and was associated with a smaller number of anastomoses (3 [2-3] versus 3 [2-4]; P<0.001) and rate of on-pump surgery (49% versus 69%; P<0.001). At 3 years, major adverse cardiovascular events were not different between the angiography-guided and FFR-guided groups (12% versus 11%; hazard ratio, 1.030; 95% confidence interval, 0.627-1.692; P=0.908). However, the FFR-guided group compared with the angiography-guided group presented a significantly lower rate of angina (Canadian Cardiovascular Society class II-IV, 31% versus 47%; P<0.001). CONCLUSIONS: FFR-guided coronary artery bypass graft surgery was associated with a lower number of graft anastomoses and a lower rate of on-pump surgery compared with angiography-guided coronary artery bypass graft surgery. This did not result in a higher event rate during up to 36 months of follow-up and was associated with a lower rate of angina.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".