Presurgical Cleft Management of Infants: A Survey of ACPA Approved and International Cleft Palate and Craniofacial Teams
Bibliographic record
Abstract
OBJECTIVE: To characterize the presurgical infant orthopedics (PSIO) and gingivoperiosteoplasty (GPP) protocols across the American Cleft Palate-Craniofacial Association (ACPA) approved and international cleft palate (CP) and craniofacial teams. DESIGN: Cross-sectional survey. SETTING: ACPA approved and international CP and craniofacial teams. RESULTS: Respondents from 115 out of 215 ACPA approved and international CP and craniofacial teams permitted to contact (out of a total of 259 total teams) completed the survey (response rate = 53.5%). There were 89 (77.4%) ACPA approved teams and the remaining international teams were mainly located in Europe (13.0%). Seventy-eight CP and craniofacial teams (67.8%) provided PSIO and 65 (83.3%) of these teams used alveolar molding (AM). Twenty-two CP and craniofacial teams (19.1%) provided GPP. A mean of 9.5 ± 2.6 different specialists were on the cleft team with the most common being orthodontists (97.4%), speech therapists (96.5%), and plastic/craniofacial surgeons (90.4%). CONCLUSIONS: Most ACPA approved and ACPA registered international CP and craniofacial teams provided PSIO techniques by orthodontists using lip taping (LT) and AM, while few provide GPP.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".