Developmental outcomes of preschool children requiring craniosynostosis surgery in Manitoba: a cohort study
Bibliographic record
Abstract
Craniosynostosis is a congenital abnormality resulting in the premature fusion of one or more cranial sutures and usually requires surgical correction in the first year of life. While the majority of craniosynostosis cases represent isolated, nonsyndromic defects, approximately 25% are linked to a genetic diagnosis. Craniosynostosis has been associated with developmental delay. Therefore, historically in Manitoba, all children with surgically managed craniosynostosis were referred to the Child Development Clinic (CDC) for developmental assessment. There are currently prolonged wait times for neurodevelopmental assessments at CDC, leading to the need to better prioritize children who require neurodevelopmental assessment. The aim of the study was then to determine the developmental outcomes of preschool children requiring craniosynostosis surgery in Manitoba from July 1, 2016 through December 1, 2021. In this retrospective cohort study, clinical records were reviewed to evaluate the developmental outcomes of patients who were assessed at CDC for surgically managed craniosynostosis. Out of 67 children included in this study, 18% demonstrated global developmental delay, 24% demonstrated mild developmental delay, and 58% were developmentally appropriate across all levels. The presence of a genetic syndrome, multisutural craniosynostosis, and parental socioeconomic status were associated with risk of global developmental delay. The findings of this study suggest that while not all children with craniosynostosis present with developmental delay, those with suspected or confirmed syndromic involvement, multisutural cranyosinostosis, and/or low SES, should be referred for neurodevelopmental evaluation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".