Radiofrequency perforation of the right ventricular outflow tract as a palliative strategy for pulmonary atresia with ventricular septal defect
Bibliographic record
Abstract
BACKGROUND: Radiofrequency perforation (RF) of the right ventricular outflow tract (RVOT), while an effective management strategy in children with an intact ventricular septum, has not been fully detailed in those presenting with a ventricular septal defect. OBJECTIVE: To determine whether transcatheter perforation of the atretic pulmonary valve is an acceptable management strategy prior to surgical repair. RESULTS: Valve perforation was attempted in eight children seen between May 2000 and March 2006, five being infants between 1 and 9 days of age. In five children, this was the first of two procedures, the second a planned surgical correction. The RF was successful in six children with one child requiring additional stenting of the RVOT. Of these children, three attained a biventricular repair within the next year without additional palliative surgical procedures. Of the remaining three patients, one is awaiting surgical correction, one did not require further surgery, and one had this procedure as the only planned palliation. The two children in whom RF was not possible were referred for surgical augmentation of pulmonary blood flow. CONCLUSION: A treatment strategy that includes pulmonary valve perforation as initial palliation to increase pulmonary blood flow may be effective. Additional experience to better define those children who would benefit from this treatment algorithm is required.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".