Repair of Atrioventricular Canal With Double-Outlet Right Ventricle, Transposition, or Truncus Arteriosus
Bibliographic record
Abstract
Atrioventricular canal and conotruncal anomalies are a heterogeneous group of lesions presenting unique challenges for surgical repair. These are the establishment of unobstructed pathways from left ventricle (LV) to aorta and from right ventricle (RV) to pulmonary artery, closure of the inlet ventricular septal defect (VSD) and atrial septal defect (ASD) ostium primum, and the avoidance of significant left and right atrioventricular valve (AV) regurgitation. Repair of complete atrioventricular canal (CAVC) with tetralogy of Fallot (TOF) has been most commonly achieved, either using a single-patch or a 2-patch technique. In patients with CAVC with double-outlet right ventricle (DORV) with subaortic VSD extension, the 2-patch repair is not unlike that of CAVC with TOF. However, biventricular repair is most challenging in patients with CAVC and complete origin of the aorta from the RV, as in CAVC with DORV and noncommitted VSD and those with CAVC with transposition of the great arteries (TGA) and LVOTO. The technique of VSD translocation allows anatomic biventricular repair for these particularly challenging patients. The arterial switch operation with CAVC repair can be used for patients with CAVC with DORV with subpulmonary VSD extension and CAVC with TGA without left ventricular outflow tract obstruction. Biventricular repair is achievable in most patients with balanced complete atrioventricular canal and conotruncal anomaly. The extreme heterogeneity of CAVC with conotruncal anomalies requires a highly individual approach that is tailored to the specific constellation of lesions in each patient.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".