The Incidence of Postoperative Seizures Following Treatment of Postinfectious Hydrocephalus in Ugandan Infants: A Post Hoc Comparison of Endoscopic Treatment vs Shunt Placement in a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: There are currently no published data directly comparing postoperative seizure incidence following endoscopic third ventriculostomy (ETV), with/without choroid plexus cauterization (CPC), to that for ventriculoperitoneal shunt (VPS) placement. OBJECTIVE: To compare postoperative epilepsy incidence for ETV/CPC and VPS in Ugandan infants treated for postinfectious hydrocephalus (PIH). METHODS: We performed an exploratory post hoc analysis of a randomized trial comparing VPS and ETV/CPC in 100 infants (<6 mo old) presenting with PIH. Minimum follow-up was 2 yr. Variables associated with and the incidence of postoperative epilepsy were compared (intention-to-treat) using a bivariate analysis. Time to first seizure was compared using the Kaplan-Meier method, and the relative risk for the 2 treatments was determined using Mantel-Haenszel hazard ratios. RESULTS: Seizure incidence was not related to age (P = .075), weight (P = .768), sex (P = .151), head circumference (P = .281), time from illness to hydrocephalus onset (P = .973), or hydrocephalus onset to treatment (P = .074). Irritability (P = .027) and vision deficit (P = .04) were preoperative symptoms associated with postoperative seizures. Ten (10%) patients died, and 20 (20%) developed seizures over the follow-up period. Overall seizure incidence was 9.4 per 100 person-years (9.4 and 9.5 for ETV/CPC and VPS, respectively; P = .483), with no significant difference in seizure risk between groups (hazard ratio, 1.02; 95% CI: 0.42, 2.45; P = .966). Mean time to seizure onset was 8.5 mo for ETV/CPC and 11.2 mo for VPS (P = .464). As-treated, per-protocol, and attributable-intervention analyses yielded similar results. CONCLUSION: Postoperative seizure incidence following treatment of PIH was 20% within 2 yr, regardless of treatment modality.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".