Bibliographic record
Abstract
PURPOSE OF REVIEW: Outcome of patients with aneurysmal subarachnoid haemorrhage (ASAH) has improved, but is still poor. After the introduction of endovascular treatment of intracranial aneurysms, much attention has been given to indications for and advances in endovascular and microneurosurgical techniques to occlude aneurysms, but management of patients with ASAH encompasses much more than occluding the aneurysm. RECENT FINDINGS: This review describes recent advances in diagnosis and general management of ASAH and in knowledge and medical treatment of delayed cerebral ischaemia and rebleeding. SUMMARY: In patients with a head computed tomography scan performed less than 6 h after headache onset and reported negative by a staff radiologist, lumbar puncture can be withheld. Patients with ASAH should preferably be treated in a tertiary care centre that treats more than 100 ASAH patients per year. Currently, the only treatment strategy to reduce the risk of delayed cerebral ischaemia remains nimodipine; there is no place for statins or magnesium sulphate, nor for lumbar drainage. Hypervolaemia and induced hypertension may be less beneficial than presumed, and further trials are urgently needed. Very early and short treatment with antifibrinolytic drugs may also be beneficial, but data from ongoing trials should be awaited before this treatment strategy can be implemented.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".