What Technique Results in the Lowest Rate of Velopharyngeal Insufficiency in Patients With Submucous Cleft Palate? A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Objective: To determine which surgical technique offers the lowest rate of velopharyngeal insufficiency (VPI) without the need for further operative intervention, in pediatric patients with nonsyndromic submucous cleft palate (SMCP). Methods: This systematic review and meta-analysis included articles reporting on nonsyndromic pediatric patients treated surgically during childhood for SMCP, with data on postoperative speech outcomes and/or recommendations for secondary surgery. Main outcome measures included rates of unfavorable speech outcomes defined as persistent VPI requiring secondary surgery and speech outcome data. Results: 15 articles met our inclusion criteria, reporting on 383 children who underwent surgical treatment; 343 patients were included in studies reporting recommendations for secondary surgery. There was 1 randomized comparative trial, 4 comparative studies, and 10 single cohort studies. Eight articles used validated speech assessment tools. Our model showed the proportion of patients recommended for secondary surgery varied between techniques, ranging from 0.0% (CI 0.0, 1000) in pharyngeal flap to 17.8% (CI 8.9, 32.5) in straight line repair techniques, but there was no statistically significant difference between treatments ( P = .33). Speech improvement ranged from 44.4% to 100%, with 9 studies recommending secondary surgery for some of their patient series. Conclusions: Although not of statistical significance, pharyngeal flap yields the lowest rate of reoperation as a primary technique for pediatric patients with nonsyndromic SMCP. Delayed repair age inherent to SMCP may render operations that rely on a functional levator muscle with less favorable outcomes. The absence of standardized surgical techniques, speech outcomes, speech therapy, and assessment make comparative analysis and recommendation difficult. We advocate for standardized speech assessment tools to improve future quantitative assessment of cleft surgery outcomes and a randomized controlled trial to better elucidate the preferred first-line technique.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".