Detailed Cleft Measurements: A Comparison between Isolated Cleft Palates and Cleft Palates Associated with Cleft Lips
Bibliographic record
Abstract
OBJECTIVE: To determine whether there are differences in the anatomical cleft measurements between patients with isolated cleft palate (CP) with or without Pierre Robin sequence (PR) and those with cleft lip and palate (CLP). DESIGN: Prospective case series. SETTING: Tertiary care university-based medical center. PATIENTS: From 1993 to 2012, CP and CLP patients were prospectively enrolled in a database. MAIN OUTCOME MEASURES: Several anatomical cleft parameters were recorded with precise measurements at the time of palatoplasty under general anesthesia. RESULTS: One hundred twenty-five patients were included in our study: 50 patients in the CP without PR group, 87 patients in the CP with or without PR (CPPR) group, and 38 patients in the CLP group. Patients in the CLP group had increased values for the following parameters compared to patients with CP and patients with CPPR: nasopharyngeal depth (P = .02 and P = .01, respectively); cleft width at posterior hard palate border (P < .001 and P < .001); width of the dental arch (P < .001 and P < .001); and total cleft length (P < 01 and P < .001). For cleft width at the soft palate level, there was a significant difference between the CP and CLP groups (P = .005). We found no statistically significant differences between the groups (CLP versus CP and CPPR, respectively) for the length of the soft palate (P = .74, P = .21) or for the length of the hard palate (P = .19, P = .08). CONCLUSION: There are significant differences in cleft and palate measurements between CLP and CP patients that may be useful to predict the occurrence of velopharyngeal insufficiency or other complications.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".