Neuroendoscopic third ventriculostomy for chronic posttraumatic hydrocephalus
Bibliographic record
Abstract
Objective To discuss the feasibility of neuroendoscopic third ventriculostomy for chronic posttraumatic hydrocephalus (PTH). Methods Nineteen cases of chronic PTH treated with neuroendoscopic third ventriculostomy between October 2010 and October 2014 were analyzed retrospectively. There were 13 males and 6 females, aged 11-57 years (mean, 36.3 years). Trauma resulted from traffic accidents in 14 cases, falls in 4 cases and blunt object hitting in 1 case. Of the 19 cases analyzed, 5 had Glasgow Coma Scale (GCS) score of 13-15, 5 had score of 9-12 and 9 had score of 5-8 at admission. Results of operation were assessed with the Canada multicenter evaluation criteria. Prognosis was analyzed with the Glasgow Outcome Scale (GOS). Results All cases were followed up for mean 13.6 months (range, 6-26 months). Improvement of symptoms was achieved in 17 cases, but was not seen in 2 cases. Of the 2 cases, one required ventriculoperitoneal shunt two weeks after ineffective ventriculostomy, and one required second ventriculostomy one month after the presence of stoma blockage. No serious complications occurred. At follow-up, 9 cases had GOS score of 5, 8 cases had score of 4 and 2 cases had score of 3. Conclusions Neuroendoscopic third ventriculostomy is in line with the physical characteristics in cerebrospinal fluid circulation, which implies no shunt implantation, less operative trauma and less complications. The procedure is an effective approach for chronic PTH. Key words: Hydrocephalus, chronic, post-traumatic; Brain injuries; Third ventricle; Ventriculostomy
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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".