Endoscopic third ventriculostomy with choroid plexus cauterization for the treatment of infantile hydrocephalus in Haiti
Bibliographic record
Abstract
OBJECTIVE: Untreated hydrocephalus poses a significant health risk to children in the developing world. In response to this risk, global neurosurgical efforts have increasingly focused on endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) in the management of infantile hydrocephalus in low- and middle-income countries (LMICs). Here, the authors report their experience with ETV/CPC at the Hospital Bernard-Mevs/Project Medishare (HBMPM) in Port-au-Prince, Haiti. METHODS: The authors conducted a retrospective review of a series of consecutive children who had undergone ETV/CPC for hydrocephalus over a 1-year period at HBMPM. The primary outcome of interest was time to ETV/CPC failure. Univariate and multivariate analyses using a Cox proportional hazards regression were performed to identify preoperative factors that were associated with outcomes. RESULTS: Of the 82 children who underwent ETV/CPC, 52.2% remained shunt free at the last follow-up (mean 6.4 months). On univariate analysis, the ETV success score (ETVSS; p = 0.002), success of the attempted ETV (p = 0.018), and bilateral CPC (p = 0.045) were associated with shunt freedom. In the multivariate models, a lower ETVSS was independently associated with a poor outcome (HR 0.072, 95% CI 0.016-0.32, p < 0.001). Two children (2.4%) died of postoperative seizures. CONCLUSIONS: As in other LMICs, ETV/CPC is an effective treatment for hydrocephalus in children in Haiti, with a low but significant risk profile. Larger multinational prospective databases may further elucidate the ideal candidate for ETV/CPC in resource-poor settings.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".