Clinical predictors of developmental outcome in patients with cephaloceles
Bibliographic record
Abstract
OBJECT: Cephaloceles represent primary axial mesodermal defects, occurring in 0.8-4 per 10,000 live births. Prior studies have reported posterior location, hydrocephalus, microcephaly, seizure, and presence of brain tissue as poor prognostic markers for neurological outcome. However, these studies were small and the results were analyzed using univariate tests. The purpose of this study was to investigate the potential risk factors for the occurrence of developmental delay in patients with cephaloceles, using both univariate and multivariable regression techniques. METHODS: This is a retrospective cohort study of cephalocele cases treated at the Hospital for Sick Children between 1990 and 2006. Two independent investigators collected the data from the Hospital for Sick Children Encephalocele Database and hospital charts. Developmental assessments were made by general pediatricians and neuropsychologists. Both univariate analysis (alpha=0.10) and multivariable logistic regression analysis (alpha=0.05) were performed. RESULTS: Eighty-five cases of cephaloceles were identified. The patient group consisted of 48 boys and 37 girls. Sixty-eight lesions were encephaloceles and 17 were meningoceles. The distribution was as follows: frontal (40 lesions), occipital (33), and parietal (12). Associated conditions included hydrocephalus (23), seizure disorder (17), microcephaly (6), corpus callosal abnormalities (15), heterotopias (9), cerebral dysgenesis (11), and myelomeningocele (1). Evaluation of long-term development revealed that 41 patients (48%) had normal development, 9 (11%) had mild delay, 14 (16%) had moderate delay, and 21 (25%) had severe delay. Hydrocephalus, seizure disorder, microcephaly, presence of associated intracranial abnormalities, and presence of brain tissue were significantly associated with poor outcome on univariate analysis. Multivariable analysis revealed hydrocephalus and presence of intracranial abnormalities to be statistically significant predictors of developmental delay. CONCLUSIONS: To the authors' knowledge, this is one of the largest North American cephalocele series documented. Unlike prior studies, location of the cephaloceles is not a significant predictor of outcome. The multivariable regression analysis demonstrates hydrocephalus and the presence of associated intracranial abnormalities as variables with cumulative predictive effects for developmental delay.
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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 | 0.004 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".