Bibliographic record
Abstract
OBJECTIVE: Reports from relatively small series of pediatric patients predominantly from single centers have hampered accurate analysis of outcome from endoscopic third ventriculostomy. We combined patients from nine pediatric neurosurgery centers across Canada to obtain a better estimate of outcome and identify factors affecting success of the procedure. METHODS: Databases were recoded for uniformity. Failure of the procedure was defined as any subsequent operation or death resulting from hydrocephalus. Time to failure was analyzed by Kaplan-Meier estimate and Cox proportional hazard analysis. RESULTS: During a 15-year period (1989-2004), 368 patients underwent the procedure. The average age was 6.5 years, and 57% were male. Aqueduct stenosis and tumors were the most common etiology, comprising 34 and 29%, respectively. Twenty-two percent of the patients had been previously shunted. The 1- and 5-year success rates were 65 and 52%, respectively. Factors included in the Cox model were age, sex, etiology of hydrocephalus, previous surgery, center volume, and surgeon volume. By multivariate analysis, only age had a significant effect on outcome, with younger patients failing at higher rates, particularly neonates and infants. CONCLUSION: Based on data from multiple Canadian centers, age seems to be the primary determinant of outcome in endoscopic third ventriculostomy in pediatric patients. Failure rates are particularly high in neonates and young infants; thus, the role of this procedure in this age group should be carefully considered.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.000 |
| 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".