Obstructive Hydrocephalus in Children: Predictive Factors of Ventriculocisternostomy Dysfunction at the University Hospital Center of Conakry
Bibliographic record
Abstract
The treatment of hydrocephalus is surgical and uses two (2) main methods to date: ventriculoperitoneal shunt (DVP) and endoscopic ventriculocisternostomy (VCS). The latter offers the advantage of avoiding the implantation of a foreign body (valve) in the body. However, there are sometimes dysfunctions that can lead to the evolutionary continuation of hydrocephalus. The objective of this study is to identify factors predictive of VCS dysfunction in cases of obstructive hydrocephalus in children at the University Hospital Center (CHU) in Conakry. This is a mixed analytical study of 32 cases of children aged 0-15 years who received VCS during the study period. Outcomes were evaluated according to Drake and Canadian Pediatric Neurosurgery Group clinical criteria. The hospital frequency was 17% and a sex ratio (M/F) of 1.13. Clinical signs were dominated by progressive macrocraniality (93.8%), bulging fontanel (84.4%), ectasia of scalp veins (68.8%). CSF leakage (9.4%) was the most frequent post-operative complication. We recorded one case of death. The success rate of CSF according to Drake's criteria was 56%. The factors often associated with the dysfunction of the VCS found in this study are essentially: age, bulging fontanelle, ectasia of the scalp veins, arachnoid adhesions, closure of the Sylvius aqueduct and pulsation of the bottom of the 3rd V. In the absence of a statistically significant relationship, it would be useful to analyse these parameters closely on a much larger sample.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".