Staged Approach: The Role of Delayed Repair Following Complete Unifocalization of Major Aortopulmonary Collateral Arteries with Ventricular Septal Defect and Pulmonary Atresia
Bibliographic record
Abstract
The presentation of pulmonary vasculature in pulmonary atresia with ventricular septal defect and major aortopulmonary collateral arteries (PA/VSD/MAPCA) is highly variable-as is the number, size and position of the MAPCAs and their relationship with the native pulmonary artery system. The priority in the management of this disease should be attaining timely and complete unifocalization, as opposed to single-stage full repair in every case. The merit of early unifocalization is that it secures the pulmonary vascular bed by (a) avoiding loss of lung segments from progressive stenosis/atresia of MAPCA origins, (b) preventing lung injury from high pressure/flow in areas fed by large, unobstructed MAPCAs, and (c) restoring central continuity of the pulmonary vasculature. Furthermore, there are a small but important group of patients with poorly developed vessels (about 10%-15% of the population) and/or diminutive native pulmonary artery vasculature that require initial shunt procedures to promote rehabilitation and growth of vessels before unifocalization can be attempted. During unifocalization, patients not suitable for single stage repair can be identified by intraoperative flow studies and can be successfully managed with staged strategies that provide time for growth and reinterventions on the pulmonary vasculature. Over 85% of patients can achieve unifocalization. Deferring closure of the VSD to a subsequent procedure is safe and these cases have similar survival to primary repair. Some patients (15%-20%) may never achieve VSD closure with this strategy but can still maintain a good quality of life with a restrictive right ventricular to pulmonary artery conduit and open VSD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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".