Decreasing Incidence of Palatoplasty in the United States
Bibliographic record
Abstract
INTRODUCTION: Cleft palate is amongst the most common birth defect across the world. Although its etiology is multifactorial, including genetic and environmental contributors, the investigators were interested in exploring whether its incidence was changing over time. METHODS: The Nationwide Inpatient Sample database, the largest publically available healthcare database in the United States, was used to identify all primary palatoplasties performed under 2 years of age and births which occurred over a 17-year period from 1999 to 2015. The change in rate of palatoplasties and overall maternal demographics were assessed longitudinally using the chi-squared test. Significance level was set at P < 0.001. RESULTS: A total of 13,808,795 pregnancies were reviewed during the time period, from 1999 to 2015, inclusively. A total of 10,567 primary palatoplasties were performed in that period of time reflecting an overall rate of 7.7 palatoplasties per 10,000 deliveries. Palatoplasty rates decreased across the study period from 9.5 per 10,000 in 1999 to 7.1 per 10,000 died/delivered pregnancies in 2015 which corresponds to an average compounded year-to-year decrease of 1.76%, P < 0.001. CONCLUSIONS: The rate of primary palatoplasties, as a proxy for the rate of cleft palate prevalence, has been significantly decreasing over the last 2 decades and may represent improvements in early diagnosis in pregnancy, changing genetic or racial demographics, and/or environmental factors such as decreased maternal smoking in the US population. Future research may be directed at better understanding the definitive etiology of this decreasing prevalence of children undergoing primary cleft palate repairs in the United States.
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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 | 0.001 |
| 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) | 0.000 | 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".