Clinical profile of post coronary artery bypass graft patients undergoing percutaneous coronary intervention in native or graft vessels
Bibliographic record
Abstract
Background: The PCI target vessel and corresponding outcomes in prior CABG patients are poorly studied. The study aims to determine the predictors and outcomes of native coronary artery and bypass graft percutaneous coronary intervention (PCI) in patients with prior coronary artery bypass graft surgery (CABG).Methods: The factors associated with native and bypass graft PCI were analyzed in prior CABG patients undergoing PCI between July 2011 and December 2013, at Sri Jayadeva Institute Of Cardiovascular Sciences and Research, Bengaluru. Clinical/procedural characteristics and immediate procedural outcomes were recorded and analyzed.Results: During the study period, 76 patients underwent PCI who were before CABG patients. The PCI target was a native coronary artery in 73.6% and a bypass graft in 28.9%. The majority of patients presented more than five years after the CABG (64.4%). Post PCI angina was seen in 7(9.2%), and in 6(7.8%) patients, procedural complications seen. It was found that most PCI was done in patients who presented more than five years after CABG.Conclusions: Most PCIs performed in prior CABG patients are done in native coronary artery lesions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| 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".