Hydrocephalus in Apert Syndrome: A Retrospective Review
Bibliographic record
Abstract
A retrospective evaluation was carried out to define the incidence of hydrocephalus and associated factors in 44 patients with Apert syndrome treated at The Hospital for Sick Children in Toronto over a 22-year period. Forty-three of these patients underwent cranioorbital decompressive procedures within 1 year of birth. Fifteen of 25 (60%) patients who had either a computed tomography scan or pneumoencephalogram had ventriculomegaly, and 3 of the 25 (12%) had associated brain anomalies. Ten of the 44 (23%) patients had cerebrospinal fluid (CSF) shunts placed, 7 lumboperitoneal and 3 ventriculoperitoneal. Six of the shunts were placed early after cranioorbital procedures (CSF leaks in 5 cases and a subgaleal fluid collection in 1 case). The average IQ of 15 patients evaluated by the Wechsler Intelligence Scale was 72.5, indicative of significant intellectual impairment. There was no correlation between IQ and ventricular size. Although hydrocephalus characterized by progressive ventricular dilatation is uncommon in Apert syndrome, postoperative problems related to impaired CSF circulation are common and may indicate an underlying CSF absorptive deficit.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".