Surgical Techniques for the Treatment of Anomalous Origin of Right Coronary Artery From the Left Sinus: A Comparative Review
Bibliographic record
Abstract
The anomalous aortic origin of the right coronary artery (AAORCA) from the left sinus is a congenital anomaly affecting both the origin and course of the right coronary artery. AAORCA is nowadays easily and increasingly recognized by several cardiac imaging modalities. In most cases, patients remain asymptomatic; however, in some, and especially in young athletes, symptoms start to appear following exertion. A literature review was conducted on the surgical management of AAORCA by searching the Pubmed and Google Scholar databases. The inclusion criteria included manuscripts reporting surgical outcomes of AAORCA for ≥1 of the 3 techniques of interest (unroofing, reimplantation, and coronary artery bypass grafting) and manuscripts written in English and that were published between 2010 and 2020. The surgical management of AAORCA can be done through several techniques, most commonly the unroofing of the intramural segment of the AAORCA, the reimplantation of the native right coronary artery onto the right sinus of the aortic root, and coronary artery bypass grafting with either arterial or venous graft conduits with or without ligation of the proximal right coronary artery. Superiority of one surgical technique has not yet been formally proven because of the rare nature of this condition and the lack of any prospective randomized controlled trial or robust prospective observational studies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".