Panvascular Inflammation and Mechanisms of Injury in Perioperative CNS Outcomes
Bibliographic record
Abstract
In this review, the evidence for inflammatory processes as being of fundamental importance in end-organ dysfunction- specifically stroke and neurocognitive impairment in patients undergoing cardiac surgery-will be reviewed. The risk of central nervous system (CNS) impairment following an off-pump cardiac surgery will be contrasted with that of patients undergoing percutaneous coronary intervention (PCI) or medical management, and the role of progression of underlying cerebrovascular disease and, in particular, panvascular inflammation as an accompaniment to unstable angina with attendant risk of stroke will be explored. In addition, the various roles of preoperative comorbidities, aortic atheroma, and the use of selective avoidance of aortic instrumentation as well as carotid endarterectomy as risk modification strategies will be evaluated. Finally, a summary of recommendations for strategies to decrease risk of perioperative CNS impairment will be presented.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".