Burden of Care of Various Infant Orthopedic Protocols for Improvement of Nasolabial Esthetics in Patients With CUCLP
Bibliographic record
Abstract
OBJECTIVES: 1. To evaluate the orthodontic burden of care of nasoalveolar molding (NAM) and modified McNeil for the treatment of patients with complete unilateral cleft lip and palate (CUCLP). 2. To compare the esthetic outcomes of each with those of centers not utilizing infant orthopedics (IO). DESIGN: Retrospective cohort study. SETTING: Institutional. PARTICIPANTS: Four cohorts with repaired CUCLP (n = 149) from 3 centers. INTERVENTIONS: Two cohorts were treated in the same center and had either traditional infant orthopedics (TIO) or NAM and 2 were treated in centers not employing IO. MAIN OUTCOME MEASURES: Burden of care data for the IO groups were compared using t tests. Frontal and profile photographs at approximately age 5 were collected for ratings of nasolabial esthetics, using a modification of the Asher-McDade method. Intrarater and interrater reliabilities were determined using weighted κ statistics. Median ratings were compared using a Kruskal-Wallis test. RESULTS: The burden of care of NAM was significantly greater than TIO for both the number of visits (9.9 vs 6.6, [ P < .001]); and treatment duration (127 vs 112 days, [ P < .05]). Significant differences in nasolabial esthetic ratings were noted among the 3 centers. No significant differences were observed in the nasolabial esthetic outcomes between the NAM and TIO groups. CONCLUSIONS: 1. NAM required more visits and longer overall duration compared with TIO. 2. The center employing IO showed favorable nasolabial esthetics compared to those not utilizing IO. 3. No significant differences were found in the nasolabial esthetics of patients who have received NAM compared with TIO.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".