Psychosocial Outcomes in Children with Cleft Lip and/or Palate: Associations of Demographic, Cleft Morphologic, and Treatment-Related Variables
Bibliographic record
Abstract
OBJECTIVE: To determine associations of demographic, morphologic, and treatment protocol parameters with quality of life (QoL), appearance/speech satisfaction, and psychological adjustment. DESIGN: Observational study utilizing retrospective report of protocol variables and current outcome variables. SETTING: Six North American cleft treatment clinics. PARTICIPANTS: Children, ages 8.0-10.99 years, with Cleft Lip ± Alveolus, Cleft Palate, Cleft Lip and Palate, and parents (N = 284). OUTCOME MEASURES: Pediatric QoL Inventory (PedsQL): Parent, Child, Family Impact Module (FIM); Patient Reported Outcome Measurement Information System (PROMIS); Child Behavior Checklist (CBCL); CLEFT-Q. RESULTS: .05) between socioeconomic status, race, and age at assessment and parent- and self-reported measures. Females had higher PROMIS Depression (β=.20) but lower CBCL Affective (β = -.16) and PROMIS Stigma scores (β= -.24). Incomplete cleft lip was associated with lower PROMIS Depression, and more positive ratings of CLEFT-Q: Nose, Nostril, Lip Scar; CBCL Competence scores, (βs = -.17 to .17). Younger Age at Lip Closure was associated with higher CBCL School Competence (β= -.18). Younger Age at Palate Closure was associated with higher Child PedsQL Total, Physical, Psychosocial QoL, and better CLEFT-Q Speech Function (βs = -.18 to -.15). Furlow Palatoplasty was associated with more CBCL Externalizing Problems (β = .17) higher CBCL Activities (β = .16). For all diagnoses, fewer Total Cleft-Related Surgeries was associated with lower PROMIS Stigma and higher CBCL Total Competence and Activities (βs = -.16 to .15). CONCLUSIONS: Demographic characteristics, lip morphology, and treatment variables are related to later psychological functioning.
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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 | 0.001 |
| 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".