Prospective Analysis of Presurgical Risk Factors for Outcomes in Primary Palatoplasty
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The authors present a single surgeon's series of primary palatoplasty over a 10-year period in order to determine which presurgical factors might influence postoperative fistula rate and speech outcome. METHODS: Data were prospectively acquired for all patients undergoing primary palatoplasty between January of 2000 and January of 2010. Standard demographic data were captured together with classification of cleft type and severity (as defined by palate length and cleft width). Outcome data were assessed in terms of fistula rate and the requirement for secondary speech surgery for velopharyngeal insufficiency. RESULTS: There were 485 primary procedures; 276 patients were male. Mean age at primary surgery was 20.4 months. Clefts were classified according to Kernahan and Stark (cleft palate, n = 260; cleft lip/palate, n = 225) and Veau class (I, n = 85; II, n = 175; III, n = 165; and IV, n = 60). Palate length was assessed according to Randall's classification (I, n = 81; II, n = 319; III, n = 58; IV, n = 2). Mean palate width was 7.7 mm (range, 0 to 19 mm). Cleft lip/palate was associated with wider mean cleft width and a higher incidence of shorter palates than cleft palate. Velopharyngeal insufficiency was more frequent in cleft lip/palate than in cleft palate. Male sex, greater cleft width, and shorter palate length were independent predictors of velopharyngeal insufficiency. CONCLUSIONS: Distributions of sex, cleft width, and palate length vary among the differing cleft types and may explain some of the variation in outcomes among centers and protocols. These data should be recorded to facilitate valid comparisons among future studies. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 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 it