Palatal Fistula Risk after Primary Palatoplasty
Bibliographic record
Abstract
BACKGROUND: Humanitarian surgical organizations provide palatoplasties for patients without access to surgical care. Few organizations have evaluated the outcomes of these trips. This study evaluates the palatal fistula rate in patients from two cohorts in rural China and one in the United States. METHODS: This study compared the odds of fistula formation among three cohorts whose palates were repaired between 2005 and 2009. One cohort included 97 Chinese patients operated on by teams from the United States and Canada under the auspices of Resurge International. They were compared to cohorts at Huaxi Stomatology Hospital and the University of California San Francisco (UCSF). Age, fistula presence, and Veau class were compared among cohorts using Chi-square tests. Logistic regression was used to analyze predictors of fistula formation. RESULTS: The fistula risk was 35.4% in patients treated by humanitarian teams, 12.8% at Huaxi University Hospital and 2.5% at UCSF ( P < 0.001). Age and Veau class were associated with fistula formation (Age P = 0.0015; Veau P < 0.001). ReSurge and Huaxi patients had 20.2 and 5.6 times the odds of developing a fistula, respectively, compared to UCSF patients ( P < 0.01, both). A multivariable model controlling for surgical group, age, and gender showed an association between Veau class and the odds of fistula formation. CONCLUSIONS: Chinese children undergoing palatoplasty by international teams had higher odds of palatal fistula than children treated by Chinese surgeons in established institutions and children treated in the United States. More research is required to identify factors affecting complication rates in low-resource environments.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".