Evaluation of Right Ventricular Outflow Tract Stenting as Palliative Treatment in Severely Cyanotic Tetralogy of Fallot: A Systematic Review and Meta-analysis of Observational Studies
Bibliographic record
Abstract
Background: Tetralogy of Fallot (ToF) is a cardiac malformation that accounts for up to 1/10 of all congenital diseases. Although surgical repair serves as a treatment of choice, it cannot be performed unless weight and anatomical key factors are favorable. The stenting of the right ventricular outflow tract (RVOT) has become an alternative palliative procedure for ToF as an option to alleviate infundibular obstruction with minimal invasion. Methods: A literature search was conducted through 7 databases, followed by the screening and independent assessment of 6 final studies, using the Newcastle-Ottawa Quality Assessment Scale (NOS). Analysis was then conducted using inverse variance analysis, and cumulative data were presented with forest and funnel plots. Results: Studied patients were referred for RVOT stenting due to the marked obstruction of the pulmonary blood flow, a low birth weight, or a small pulmonary artery size. The analysis revealed a significant increase in O2 saturation (mean difference [MD=18%; 13–23.78). The same trend was observed concerning an increase in the Nakata index (MD=54.59; 10.05–99.14), the right pulmonary artery diameter (MD=2.28; 1.20–3.36), and the left pulmonary artery diameter (MD=1.77; 0.22–3.32). Several complications were found, including tricuspid regurgitation and frequent premature beats. Conclusion: RVOT stenting is considered a feasible palliative treatment for ToF, with its high effectiveness in improving patients’ condition, especially their pulmonary flow. While complications are scarce, several conditions should be noted, particularly for fatal complications. Finally, this study has limitations as catheterization details in studies and diverse infants’ conditions may have caused potential bias
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.025 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".