Intracranial hypertension secondary to sigmoid sinus compression by group A streptococcal epidural abscess
Bibliographic record
Abstract
OBJECTIVE: We present an extremely rare case of severe intracranial hypertension secondary to sigmoid sinus compression by a group A streptococcal epidural abscess. METHOD: Case report and review of the world literature. RESULTS: A five-year-old boy was treated for acute otitis media and group A streptococcal bacteraemia, but subsequently developed severe intracranial hypertension. Computed tomography revealed that, although the sigmoid sinuses were not thrombosed, the patient had a dominant right sigmoid sinus that was almost completely compressed by a small epidural abscess. After surgical decompression of the epidural abscess, with aggressive debridement of the granulation tissue from the sigmoid sinus wall, the patient awoke from general anaesthesia with complete resolution of his symptoms and signs of intracranial hypertension. He suffered no sequelae over the subsequent six months' follow up. CONCLUSION: This is the first reported case of intracranial hypertension due to an epidural abscess causing sigmoid sinus compression without thrombosis. This case illustrates the fact that, even in the absence of thrombosis of the sigmoid sinus, a small epidural abscess may require urgent surgical treatment.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".